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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GAPDH is validated prognostic, high expression is unfavorable in Lung Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.8
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
4.4e-7
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
24%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
45%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2667.0
Number of samples
497
Samples
Sample
Description
TPM
TCGA-44-5643-01A
53 years, male, black or african american, stage:Stage IIIA, alive, 1013 days
10278.2
TCGA-64-5775-01A
71 years, male, white, stage:Stage IIIA, dead, 62 days
8507.5
TCGA-50-5044-01A
72 years, female, white, stage:Stage IIIB, dead, 624 days
8284.0
TCGA-62-8398-01A
55 years, male, white, stage:Stage IIIA, dead, 444 days
8204.0
TCGA-78-7150-01A
59 years, male, white, stage:Stage IIB, dead, 666 days
8190.1
TCGA-78-7146-01A
71 years, female, white, stage:Stage IIIA, dead, 173 days
8112.5
TCGA-73-4670-01A
69 years, female, white, stage:Stage IV, alive, 131 days
7910.9
TCGA-50-5939-01A
85 years, male, white, stage:Stage IB, dead, 460 days
7797.7
TCGA-05-4415-01A
57 years, male, stage:Stage IIIB, dead, 91 days
7666.1
TCGA-78-7542-01A
56 years, male, white, stage:Stage IB, dead, 321 days
7650.3
TCGA-78-8640-01A
59 years, male, stage:Stage IIA, alive, 7062 days
7543.5
TCGA-44-2668-01A
51 years, male, white, stage:Stage IB, dead, 761 days
7531.8
TCGA-50-5931-01A
75 years, female, white, stage:Stage IB, dead, 434 days
7462.6
TCGA-05-4398-01A
47 years, female, stage:Stage IIIB, alive, 1431 days
7273.6
TCGA-44-7669-01A
59 years, male, black or african american, stage:Stage IIA, dead, 574 days
7030.0
TCGA-73-4666-01A
52 years, female, white, stage:Stage IV, alive, 800 days
6998.8
TCGA-78-8660-01A
69 years, male, stage:Stage IIB, dead, 321 days
6736.4
TCGA-75-7027-01A
male, stage:Stage IB, alive, 3059 days
6724.8
TCGA-49-4507-01A
73 years, female, white, stage:Stage IIIA, dead, 268 days
6660.0
TCGA-55-7995-01A
73 years, female, white, stage:Stage IA, alive, 889 days
6501.0
TCGA-44-7667-01A
49 years, female, white, stage:Stage IIB, alive, 1097 days
6403.4
TCGA-50-6590-01A
72 years, female, white, stage:Stage IB, dead, 1288 days
6361.1
TCGA-MP-A4TI-01A
72 years, male, white, stage:Stage IIA, dead, 429 days
6338.4
TCGA-99-8033-01A
74 years, female, white, stage:Stage IV, dead, 656 days
6321.6
TCGA-44-6779-01A
50 years, female, white, stage:Stage IIB, dead, 500 days
6195.7
TCGA-MP-A4TF-01A
58 years, female, white, stage:Stage IIA, dead, 336 days
6081.6
TCGA-50-6595-01A
74 years, female, white, stage:Stage IIIA, dead, 189 days
6015.7
TCGA-05-4426-01A
71 years, male, stage:Stage IB, alive, 791 days
5839.9
TCGA-55-A493-01A
54 years, female, white, stage:Stage IB, alive, 28 days
5818.8
TCGA-86-7955-01A
62 years, male, white, stage:Stage IB, alive, 1072 days
5774.3
TCGA-49-AAR9-01A
61 years, male, black or african american, stage:Stage IIB, dead, 260 days
5761.1
TCGA-44-7661-01A
69 years, female, white, stage:Stage IB, dead, 557 days
5664.9
TCGA-55-6984-01A
71 years, female, white, stage:Stage IIB, dead, 760 days
5617.3
TCGA-93-8067-01A
77 years, male, asian, stage:Stage IB, alive, 186 days
5546.6
TCGA-MP-A4SY-01A
61 years, male, white, stage:Stage IIB, dead, 1501 days
5499.1
TCGA-64-5815-01A
74 years, male, white, stage:Stage IIB, alive, 866 days
5428.0
TCGA-95-7562-01A
71 years, male, black or african american, stage:Stage IIA, dead, 87 days
5420.4
TCGA-55-6981-01A
53 years, female, white, stage:Stage IIIA, dead, 1379 days
5382.1
TCGA-44-7660-01A
72 years, male, white, stage:Stage IB, alive, 592 days
5335.1
TCGA-91-8499-01A
76 years, female, white, stage:Stage IA, alive, 36 days
5311.9
TCGA-97-8176-01A
63 years, male, white, stage:Stage IIIA, dead, 468 days
5271.2
TCGA-78-7154-01A
72 years, male, white, stage:Stage IIIA, dead, 593 days
5241.9
TCGA-86-8585-01A
57 years, male, white, stage:Stage IB, alive, 353 days
5182.5
TCGA-97-8175-01A
55 years, female, white, stage:Stage IB, alive, 551 days
5020.5
TCGA-62-A471-01A
64 years, male, white, stage:Stage IIB, alive, 1246 days
5015.2
TCGA-38-4629-01A
68 years, male, white, stage:Stage IIB, dead, 864 days
5014.8
TCGA-49-4506-01A
68 years, female, white, stage:Stage IIB, dead, 999 days
5008.8
TCGA-78-7166-01A
84 years, male, white, stage:Stage IIB, dead, 258 days
5005.5
TCGA-95-8494-01A
67 years, male, white, stage:Stage IIA, alive, 84 days
4986.8
TCGA-95-7039-01A
54 years, female, white, stage:Stage IIB, alive, 1272 days
4944.7
TCGA-05-4434-01A
67 years, female, stage:Stage IV, dead, 457 days
4901.7
TCGA-55-8302-01A
54 years, male, white, stage:Stage IB, alive, 478 days
4859.5
TCGA-50-5936-01A
58 years, male, white, stage:Stage IIIA, dead, 257 days
4795.1
TCGA-55-6712-01A
71 years, male, white, stage:Stage IIA, dead, 171 days
4771.4
TCGA-55-7903-01A
64 years, male, white, stage:Stage IA, alive, 567 days
4747.7
TCGA-49-AARQ-01A
41 years, female, black or african american, stage:Stage I, alive, 6732 days
4739.7
TCGA-55-8505-01A
62 years, male, white, stage:Stage IIIA, alive, 440 days
4729.3
TCGA-50-5072-01A
74 years, male, white, stage:Stage IIIA, dead, 250 days
4701.9
TCGA-91-6847-01A
62 years, female, white, stage:Stage IB, alive, 842 days
4653.7
TCGA-35-4123-01A
38 years, male, white, stage:Stage IA, alive, 182 days
4591.7
TCGA-50-6592-01A
71 years, female, white, stage:Stage IB, dead, 777 days
4589.9
TCGA-86-7711-01A
70 years, male, white, stage:Stage IIA, dead, 1046 days
4558.8
TCGA-55-7911-01A
70 years, female, white, stage:Stage IA, alive, 537 days
4512.4
TCGA-MP-A4TE-01A
56 years, male, white, stage:Stage IIA, dead, 896 days
4504.0
TCGA-64-1679-01A
58 years, female, white, stage:Stage IIIA, alive, 2488 days
4502.2
TCGA-50-6591-01A
63 years, female, white, stage:Stage IV, dead, 119 days
4494.4
TCGA-91-6830-01A
65 years, female, white, stage:Stage IIA, alive, 60 days
4433.8
TCGA-05-4418-01A
69 years, male, stage:Stage IIIA, dead, 274 days
4415.6
TCGA-05-4402-01A
57 years, female, stage:Stage IV, dead, 244 days
4406.4
TCGA-55-7994-01A
81 years, male, white, stage:Stage IIB, alive, 603 days
4405.4
TCGA-55-7570-01A
60 years, male, black or african american, stage:Stage IA, alive, 824 days
4282.1
TCGA-55-A490-01A
78 years, male, white, stage:Stage IIA, dead, 99 days
4268.8
TCGA-MN-A4N1-01A
60 years, male, black or african american, stage:Stage IIA, alive, 827 days
4170.1
TCGA-95-7944-01A
71 years, male, white, stage:Stage IA, alive, 377 days
4150.9
TCGA-55-7726-01A
72 years, female, white, stage:Stage IA, alive, 652 days
4109.5
TCGA-55-6982-01A
79 years, female, white, stage:Stage IIB, dead, 995 days
4095.2
TCGA-73-4675-01A
59 years, male, white, stage:Stage IIIA, dead, 922 days
4094.8
TCGA-35-5375-01A
61 years, male, white, stage:Stage IIIA, alive, 264 days
4037.2
TCGA-97-8547-01A
78 years, female, stage:Stage IIIA, alive, 657 days
3979.7
TCGA-55-8090-01A
80 years, male, white, stage:Stage IA, dead, 598 days
3970.0
TCGA-69-7974-01A
54 years, female, white, stage:Stage IIIA, alive, 184 days
3967.4
TCGA-MP-A4T7-01A
75 years, female, stage:Stage IV, dead, 167 days
3949.3
TCGA-86-8672-01A
59 years, male, white, stage:Stage IIB, dead, 19 days
3947.2
TCGA-55-8204-01A
87 years, female, white, stage:Stage IB, alive, 515 days
3936.7
TCGA-62-8402-01A
73 years, female, white, stage:Stage IIIA, dead, 1498 days
3935.2
TCGA-69-8255-01A
71 years, male, white, stage:Stage IA, alive, 129 days
3899.4
TCGA-49-AARO-01A
39 years, female, black or african american, stage:Stage IA, alive, 3759 days
3890.6
TCGA-80-5608-01A
female, stage:Stage IA, alive, 2832 days
3878.7
TCGA-55-8620-01A
60 years, male, white, stage:Stage IV, dead, 375 days
3864.0
TCGA-55-6975-01A
61 years, male, white, stage:Stage IIB, dead, 118 days
3851.2
TCGA-78-7148-01A
71 years, male, white, stage:Stage IIB, dead, 626 days
3840.2
TCGA-55-6978-01A
81 years, male, white, stage:Stage IIA, dead, 176 days
3817.2
TCGA-78-7536-01A
69 years, male, white, stage:Stage IIIA, dead, 244 days
3800.9
TCGA-78-8662-01A
53 years, female, stage:Stage IB, dead, 3361 days
3794.9
TCGA-49-6767-01A
46 years, female, white, stage:Stage IIB, alive, 677 days
3780.2
TCGA-91-6836-01A
52 years, female, white, stage:Stage IB, alive, 417 days
3773.7
TCGA-50-5941-01A
55 years, female, white, stage:Stage IIIA, alive, 1474 days
3769.1
TCGA-55-5899-01A
58 years, male, white, stage:'--, alive, 930 days
3765.7
TCGA-73-4659-01A
66 years, male, white, stage:Stage IIIA, dead, 711 days
3751.7
TCGA-75-6212-01A
female, stage:Stage IIB, dead, 1516 days
3743.4
TCGA-MN-A4N4-01A
57 years, male, white, stage:Stage IA, alive, 1175 days
3738.0
TCGA-69-A59K-01A
60 years, female, black or african american, stage:Stage IIB, alive, 591 days
3735.6
TCGA-49-4494-01A
77 years, male, white, stage:Stage IIIA, dead, 1081 days
3704.8
TCGA-69-7980-01A
70 years, female, white, stage:Stage I, alive, 411 days
3693.5
TCGA-J2-A4AD-01A
61 years, female, white, stage:Stage IA, dead, 550 days
3684.8
TCGA-75-5125-01A
male, stage:Stage IIB, dead, 2027 days
3678.0
TCGA-86-A4JF-01A
56 years, male, white, stage:Stage IIB, dead, 737 days
3628.5
TCGA-55-7576-01A
54 years, male, black or african american, stage:Stage IB, alive, 670 days
3599.4
TCGA-38-4625-01A
66 years, female, white, stage:Stage IB, alive, 2973 days
3590.1
TCGA-53-7624-01A
40 years, female, white, stage:Stage IV, dead, 1043 days
3577.3
TCGA-55-8085-01A
64 years, male, white, stage:Stage IA, alive, 904 days
3551.6
TCGA-38-4631-01A
72 years, female, white, stage:Stage IB, dead, 354 days
3524.9
TCGA-MP-A4T8-01A
68 years, male, stage:Stage IIIA, dead, 161 days
3492.5
TCGA-44-8119-01A
73 years, male, white, stage:Stage IIB, alive, 285 days
3483.6
TCGA-80-5611-01A
male, stage:Stage IB, alive, 2595 days
3440.6
TCGA-44-2662-01A
65 years, male, white, stage:Stage IB, alive, 1280 days
3432.6
TCGA-78-7220-01A
53 years, female, white, stage:Stage IIIA, dead, 807 days
3399.5
TCGA-62-A472-01A
70 years, male, white, stage:Stage IIB, alive, 910 days
3376.3
TCGA-05-4390-01A
58 years, female, stage:Stage IB, alive, 1126 days
3367.8
TCGA-73-4676-01A
45 years, male, white, stage:Stage IIA, dead, 281 days
3358.8
TCGA-64-5774-01A
60 years, male, white, stage:Stage IB, alive, 2676 days
3358.4
TCGA-55-A4DF-01A
88 years, male, white, stage:Stage IA, dead, 440 days
3326.7
TCGA-86-8674-01A
50 years, male, white, stage:Stage IIA, alive, 806 days
3324.0
TCGA-L4-A4E5-01A
48 years, female, white, stage:Stage I, alive, 578 days
3309.6
TCGA-44-6777-01A
85 years, female, white, stage:Stage IB, dead, 987 days
3298.6
TCGA-55-8094-01A
51 years, male, white, stage:Stage IV, alive, 541 days
3297.2
TCGA-86-6562-01A
52 years, male, white, stage:Stage IIA, dead, 376 days
3269.6
TCGA-49-4505-01A
61 years, female, white, stage:Stage IIB, dead, 428 days
3221.3
TCGA-86-A4D0-01A
48 years, male, white, stage:Stage IIA, dead, 116 days
3220.7
TCGA-44-A4SS-01A
73 years, male, white, stage:Stage IA, alive, 415 days
3200.4
TCGA-55-A494-01A
61 years, female, white, stage:Stage IB, alive, 481 days
3191.9
TCGA-44-3398-01A
77 years, female, white, stage:Stage IA, alive, 1163 days
3181.1
TCGA-49-4514-01A
79 years, female, white, stage:Stage IA, alive, 1700 days
3180.8
TCGA-55-8299-01A
61 years, female, white, stage:Stage IA, dead, 469 days
3176.3
TCGA-44-4112-01A
60 years, female, white, stage:Stage IB, dead, 808 days
3148.2
TCGA-86-8055-01A
79 years, male, white, stage:Stage IIA, dead, 124 days
3134.9
TCGA-49-AAR3-01A
69 years, male, black or african american, stage:Stage IIB, alive, 1893 days
3113.9
TCGA-64-5781-01A
55 years, female, white, stage:Stage IB, alive, 1559 days
3106.3
TCGA-44-5644-01A
51 years, female, white, stage:Stage IB, alive, 863 days
3095.9
TCGA-05-5429-01A
60 years, male, stage:Stage IIIA, dead, 275 days
3088.4
TCGA-55-8091-01A
74 years, male, white, stage:Stage IB, alive, 600 days
3065.8
TCGA-35-4122-01A
69 years, male, white, stage:Stage IA, alive, 225 days
3065.2
TCGA-67-6216-01A
57 years, female, white, stage:Stage IA, alive, 141 days
3057.5
TCGA-44-2665-01A
55 years, female, white, stage:Stage IIB, alive, 1301 days
3035.7
TCGA-69-7973-01A
42 years, female, white, stage:Stage IB, alive, 230 days
3027.1
TCGA-55-6987-01A
77 years, male, white, stage:Stage IA, alive, 2137 days
3022.4
TCGA-55-1596-01A
55 years, male, asian, stage:Stage IIB, alive, 2065 days
3021.5
TCGA-38-4627-01A
64 years, female, white, stage:Stage IIA, dead, 1147 days
2996.1
TCGA-55-6980-01A
56 years, male, white, stage:Stage IA, alive, 2109 days
2992.6
TCGA-44-7671-01A
64 years, male, black or african american, stage:Stage IB, alive, 889 days
2988.2
TCGA-95-7947-01A
67 years, male, white, stage:Stage IA, alive, 477 days
2986.1
TCGA-91-6848-01A
59 years, male, white, stage:Stage IIIA, alive, 224 days
2982.8
TCGA-86-8075-01A
66 years, female, white, stage:Stage IB, dead, 694 days
2982.7
TCGA-62-8397-01A
70 years, female, white, stage:Stage IIB, alive, 1289 days
2982.1
TCGA-55-8089-01A
56 years, male, white, stage:Stage IA, dead, 702 days
2965.7
TCGA-50-5933-01A
72 years, male, white, stage:Stage IIIB, dead, 2393 days
2960.2
TCGA-97-8177-01A
59 years, female, white, stage:Stage IB, alive, 499 days
2954.0
TCGA-49-4487-01A
72 years, female, white, stage:Stage IA, dead, 855 days
2953.2
TCGA-69-8253-01A
59 years, female, black or african american, stage:Stage IIA, alive, 426 days
2931.7
TCGA-86-7953-01A
69 years, female, white, stage:Stage IA, alive, 997 days
2931.3
TCGA-44-7670-01A
47 years, female, white, stage:Stage IIA, alive, 882 days
2931.0
TCGA-91-6829-01A
78 years, male, white, stage:Stage IB, dead, 1258 days
2924.4
TCGA-86-8358-01A
44 years, male, white, stage:Stage IB, alive, 653 days
2924.2
TCGA-86-8054-01A
61 years, male, white, stage:Stage IIB, alive, 1148 days
2922.2
TCGA-69-7979-01A
71 years, female, white, stage:Stage IB, alive, 408 days
2915.7
TCGA-86-7954-01A
68 years, female, white, stage:Stage IB, alive, 605 days
2913.8
TCGA-44-A47A-01A
78 years, female, white, stage:Stage IB, alive, 466 days
2911.0
TCGA-50-6594-01A
79 years, female, black or african american, stage:Stage IIIA, dead, 370 days
2882.9
TCGA-95-A4VN-01A
62 years, female, white, stage:Stage IIA, alive, 553 days
2882.7
TCGA-55-8205-01A
76 years, female, white, stage:Stage IIA, alive, 599 days
2860.6
TCGA-78-7163-01A
60 years, male, white, stage:Stage IB, alive, 7248 days
2854.5
TCGA-93-A4JO-01A
70 years, male, white, stage:Stage IA, dead, 33 days
2847.8
TCGA-69-7978-01A
59 years, male, white, stage:Stage IIB, alive, 134 days
2845.2
TCGA-64-1677-01A
77 years, female, white, stage:Stage IIIA, dead, 628 days
2834.4
TCGA-05-4424-01A
70 years, male, stage:Stage IIB, alive, 913 days
2832.3
TCGA-86-8279-01A
46 years, male, white, stage:Stage IIA, alive, 949 days
2825.3
TCGA-4B-A93V-01A
52 years, female, black or african american, stage:Stage IA, dead, 300 days
2814.2
TCGA-MP-A4TC-01A
77 years, male, white, stage:Stage IIIA, dead, 74 days
2810.6
TCGA-73-4658-01A
80 years, female, white, stage:Stage IB, dead, 1600 days
2791.2
TCGA-38-4630-01A
75 years, female, white, stage:Stage IB, dead, 1073 days
2763.6
TCGA-49-4490-01A
45 years, female, white, stage:Stage IIIA, dead, 385 days
2762.0
TCGA-L9-A5IP-01A
40 years, female, black or african american, stage:Stage IV, dead, 58 days
2761.3
TCGA-67-6215-01A
52 years, female, white, stage:Stage IB, alive, 174 days
2760.6
TCGA-MP-A4SV-01A
67 years, male, stage:Stage IB, dead, 2620 days
2750.5
TCGA-78-7160-01A
61 years, male, white, stage:Stage IV, dead, 697 days
2750.4
TCGA-95-7567-01A
61 years, male, white, stage:Stage IIB, alive, 568 days
2738.5
TCGA-44-7662-01A
61 years, male, white, stage:Stage IB, alive, 218 days
2729.5
TCGA-50-5045-01A
57 years, female, black or african american, stage:'--, dead, 2174 days
2728.5
TCGA-05-4250-01A
79 years, female, stage:Stage IIIA, dead, 121 days
2726.3
TCGA-50-8459-01A
68 years, male, white, stage:Stage IIB, alive, 1119 days
2715.7
TCGA-05-4389-01A
70 years, male, stage:Stage IA, alive, 1369 days
2708.8
TCGA-50-8460-01A
74 years, male, white, stage:Stage IA, alive, 829 days
2695.7
TCGA-38-6178-01A
70 years, female, white, stage:Stage IIIA, alive, 448 days
2693.4
TCGA-86-7713-01A
70 years, male, white, stage:Stage IIA, alive, 1157 days
2690.0
TCGA-J2-8194-01A
69 years, female, white, stage:Stage IIB, alive, 724 days
2682.2
TCGA-86-8076-01A
42 years, male, white, stage:Stage IA, alive, 993 days
2677.5
TCGA-78-7145-01A
52 years, female, white, stage:Stage IV, dead, 826 days
2676.0
TCGA-55-A48Z-01A
60 years, female, white, stage:Stage IIIB, alive, 651 days
2672.8
TCGA-62-8394-01A
65 years, female, white, stage:Stage IIIB, dead, 139 days
2653.3
TCGA-49-6745-01A
82 years, male, white, stage:Stage IIIA, alive, 522 days
2648.4
TCGA-49-6761-01A
68 years, female, white, stage:Stage IIIA, alive, 354 days
2636.4
TCGA-38-4632-01A
42 years, male, black or african american, stage:Stage IV, dead, 1357 days
2632.8
TCGA-55-1594-01A
68 years, male, white, stage:Stage IIIA, alive, 1178 days
2623.8
TCGA-MP-A4SW-01A
53 years, male, white, stage:Stage IIB, dead, 1778 days
2612.4
TCGA-75-5147-01A
female, stage:Stage IB, alive, 1333 days
2602.4
TCGA-49-AARE-01A
51 years, female, black or african american, stage:Stage IA, dead, 1229 days
2592.6
TCGA-NJ-A55R-01A
67 years, male, white, stage:Stage IA, alive, 603 days
2592.0
TCGA-NJ-A4YP-01A
52 years, male, white, stage:Stage IB, alive, 50 days
2591.5
TCGA-05-5715-01A
69 years, female, stage:Stage IB, alive, 62 days
2586.7
TCGA-62-A46V-01A
78 years, female, white, stage:Stage IB, alive, 2199 days
2554.2
TCGA-44-3919-01A
71 years, female, white, stage:Stage IA, dead, 1026 days
2544.4
TCGA-NJ-A55O-01A
56 years, female, white, stage:Stage IIA, alive, 13 days
2534.0
TCGA-55-A492-01A
70 years, female, white, stage:Stage IA, alive, 596 days
2488.5
TCGA-05-4397-01A
65 years, male, stage:Stage IIB, dead, 731 days
2479.3
TCGA-62-A46Y-01A
70 years, female, white, stage:Stage IIIA, dead, 414 days
2467.2
TCGA-91-6831-01A
66 years, male, white, stage:Stage IB, alive, 310 days
2463.5
TCGA-86-8278-01A
63 years, female, white, stage:Stage IIB, alive, 944 days
2458.1
TCGA-86-8673-01A
61 years, male, white, stage:Stage IB, alive, 862 days
2458.1
TCGA-55-8506-01A
62 years, female, white, stage:Stage IIB, alive, 11 days
2441.5
TCGA-73-A9RS-01A
41 years, male, black or african american, stage:Stage IIB, dead, 340 days
2440.1
TCGA-05-4382-01A
68 years, male, stage:Stage IB, alive, 607 days
2432.8
TCGA-55-8096-01A
67 years, female, white, stage:Stage IB, dead, 719 days
2430.1
TCGA-44-7672-01A
52 years, female, white, stage:Stage IA, alive, 719 days
2426.3
TCGA-71-8520-01A
60 years, female, asian, stage:Stage IB, dead, 210 days
2420.4
TCGA-05-4433-01A
82 years, male, stage:Stage IB, alive, 730 days
2406.2
TCGA-78-7535-01A
45 years, male, white, stage:Stage IB, dead, 949 days
2401.3
TCGA-69-7760-01A
73 years, male, white, stage:Stage IIB, alive, 202 days
2399.2
TCGA-49-AAR2-01A
64 years, male, black or african american, stage:Stage IB, alive, 2224 days
2394.3
TCGA-95-7043-01A
63 years, female, white, stage:Stage IA, dead, 503 days
2382.3
TCGA-62-8395-01A
80 years, female, white, stage:Stage IIB, alive, 1216 days
2381.9
TCGA-86-8074-01A
62 years, female, white, stage:Stage IIA, alive, 24 days
2375.5
TCGA-49-4488-01A
74 years, female, white, stage:Stage IA, dead, 869 days
2359.4
TCGA-55-7281-01A
70 years, female, white, stage:Stage IA, alive, 872 days
2355.0
TCGA-78-7149-01A
71 years, male, white, stage:Stage IIIB, alive, 3940 days
2351.5
TCGA-49-6743-01A
81 years, female, white, stage:Stage IIIA, alive, 1621 days
2351.3
TCGA-44-8117-01A
54 years, female, white, stage:Stage IB, alive, 385 days
2344.4
TCGA-78-8655-01A
77 years, female, stage:Stage IA, alive, 2360 days
2311.9
TCGA-97-8171-01A
81 years, male, asian, stage:Stage IV, alive, 568 days
2311.6
TCGA-55-8301-01A
58 years, male, white, stage:Stage IB, alive, 534 days
2308.5
TCGA-49-6742-01A
70 years, male, white, stage:Stage IIA, dead, 488 days
2306.4
TCGA-L9-A443-01A
63 years, female, white, stage:Stage IA, dead, 193 days
2304.5
TCGA-73-4668-01A
66 years, female, american indian or alaska native, stage:Stage IIB, alive, 467 days
2296.1
TCGA-49-4512-01A
69 years, female, white, stage:Stage IIIA, dead, 905 days
2295.8
TCGA-86-7701-01A
66 years, male, white, stage:Stage IV, alive, 947 days
2294.0
TCGA-97-7941-01A
72 years, female, white, stage:Stage IA, alive, 484 days
2288.3
TCGA-62-A470-01A
84 years, male, white, stage:Stage IB, dead, 1194 days
2285.6
TCGA-44-A47G-01A
73 years, female, white, stage:Stage IA, alive, 351 days
2276.9
TCGA-05-4417-01A
51 years, female, stage:Stage IB, alive, 455 days
2275.8
TCGA-75-6214-01A
female, stage:Stage IIIA, dead, 1115 days
2275.7
TCGA-86-8669-01A
64 years, male, white, stage:Stage IA, alive, 938 days
2271.2
TCGA-69-8453-01A
77 years, male, white, stage:Stage IIB, alive, 813 days
2269.9
TCGA-99-7458-01A
74 years, female, white, stage:Stage IIIA, alive, 747 days
2265.9
TCGA-55-A491-01A
81 years, female, white, stage:Stage IA, alive, 626 days
2262.4
TCGA-44-6145-01A
62 years, female, white, stage:Stage IA, alive, 595 days
2253.9
TCGA-97-7937-01A
65 years, male, white, stage:Stage IB, alive, 564 days
2249.7
TCGA-55-6986-01A
74 years, female, white, stage:Stage IB, alive, 3261 days
2249.2
TCGA-62-A46O-01A
65 years, female, white, stage:Stage IB, dead, 1454 days
2249.0
TCGA-78-7159-01A
60 years, female, white, stage:Stage IA, alive, 1974 days
2246.5
TCGA-64-1676-01A
58 years, male, white, stage:Stage IA, alive, 1728 days
2242.9
TCGA-05-4384-01A
66 years, male, stage:Stage IIIA, alive, 426 days
2241.7
TCGA-78-7155-01A
68 years, male, white, stage:Stage IB, dead, 1171 days
2230.5
TCGA-97-A4M0-01A
60 years, female, white, stage:Stage IB, alive, 652 days
2226.7
TCGA-97-A4M3-01A
69 years, female, white, stage:Stage IA, alive, 540 days
2222.9
TCGA-55-8614-01A
76 years, male, white, stage:Stage IB, alive, 536 days
2215.7
TCGA-55-7728-01A
64 years, female, white, stage:Stage IB, alive, 704 days
2209.5
TCGA-99-8032-01A
61 years, male, white, stage:Stage IA, alive, 44 days
2208.0
TCGA-55-6985-01A
58 years, female, white, stage:Stage IB, alive, 1233 days
2204.7
TCGA-55-8507-01A
53 years, male, white, stage:Stage IA, alive, 418 days
2190.0
TCGA-86-7714-01A
61 years, female, black or african american, stage:Stage IIIA, dead, 625 days
2179.1
TCGA-55-6983-01A
81 years, male, white, stage:Stage IIB, alive, 2823 days
2157.7
TCGA-MN-A4N5-01A
63 years, male, white, stage:Stage IA, alive, 84 days
2146.9
TCGA-78-7147-01A
67 years, female, white, stage:Stage IIB, dead, 586 days
2143.3
TCGA-55-8615-01A
67 years, male, white, stage:Stage IIIA, alive, 446 days
2138.7
TCGA-50-6593-01A
49 years, female, white, stage:Stage IIIA, dead, 336 days
2125.4
TCGA-93-A4JQ-01A
49 years, male, white, stage:Stage IA, alive, 526 days
2122.0
TCGA-38-A44F-01A
80 years, male, white, stage:Stage IB, alive, 133 days
2117.9
TCGA-49-AAQV-01A
63 years, female, black or african american, stage:Stage II, dead, 677 days
2103.5
TCGA-55-7724-01A
76 years, female, white, stage:Stage IB, alive, 705 days
2092.8
TCGA-55-6543-01A
60 years, female, white, stage:Stage IA, alive, 435 days
2077.3
TCGA-91-7771-01A
62 years, male, white, stage:Stage IIB, alive, 492 days
2072.3
TCGA-NJ-A4YQ-01A
69 years, female, white, stage:Stage IA, alive, 1432 days
2057.3
TCGA-78-7158-01A
59 years, female, white, stage:Stage IIIB, dead, 179 days
2026.1
TCGA-50-5051-01A
42 years, female, white, stage:Stage IIIA, dead, 478 days
2016.3
TCGA-55-7910-01A
50 years, female, black or african american, stage:Stage IIA, alive, 1040 days
2015.0
TCGA-50-5066-01A
72 years, male, black or african american, stage:Stage IB, alive, 1442 days
2013.9
TCGA-55-6968-01A
61 years, male, white, stage:Stage IV, dead, 1293 days
1962.3
TCGA-44-8120-01A
58 years, male, black or african american, stage:Stage IB, alive, 260 days
1958.5
TCGA-55-6971-01A
59 years, female, white, stage:Stage IB, alive, 1400 days
1954.1
TCGA-05-4403-01A
76 years, male, stage:Stage IB, alive, 578 days
1952.4
TCGA-50-7109-01A
60 years, male, white, stage:Stage IA, dead, 308 days
1950.4
TCGA-MP-A4TK-01A
56 years, female, stage:Stage IIB, dead, 582 days
1944.4
TCGA-44-6774-01A
56 years, female, white, stage:Stage IIIA, alive, 658 days
1940.6
TCGA-49-AARN-01A
56 years, female, black or african american, stage:Stage IA, dead, 1135 days
1937.3
TCGA-49-AAR0-01A
57 years, male, black or african american, stage:Stage IA, alive, 4765 days
1932.0
TCGA-50-6673-01A
84 years, female, white, stage:Stage I, dead, 22 days
1915.2
TCGA-97-8179-01A
72 years, male, white, stage:Stage IA, alive, 435 days
1913.2
TCGA-49-6744-01A
64 years, female, white, stage:Stage IIA, alive, 1683 days
1912.2
TCGA-J2-8192-01A
65 years, female, white, stage:Stage IIA, alive, 739 days
1908.0
TCGA-MP-A4T9-01A
54 years, female, white, stage:Stage IIIA, dead, 1265 days
1906.2
TCGA-MP-A4TD-01A
71 years, male, white, stage:Stage IIIA, dead, 307 days
1901.9
TCGA-55-7227-01A
77 years, male, white, stage:Stage IIIA, dead, 952 days
1898.0
TCGA-97-A4LX-01A
81 years, male, white, stage:Stage IB, alive, 614 days
1886.8
TCGA-62-8399-01A
62 years, male, white, stage:Stage IIIA, alive, 2696 days
1885.7
TCGA-78-7167-01A
77 years, male, white, stage:Stage IV, dead, 2681 days
1883.4
TCGA-MP-A4TA-01A
75 years, female, white, stage:Stage IA, dead, 950 days
1882.7
TCGA-55-6970-01A
67 years, female, white, stage:Stage IIIA, dead, 464 days
1878.8
TCGA-78-7143-01A
62 years, female, white, stage:Stage IB, dead, 4961 days
1870.2
TCGA-05-4427-01A
65 years, female, stage:Stage IIB, alive, 791 days
1860.4
TCGA-50-5946-01A
62 years, male, white, stage:Stage IA, alive, 1617 days
1858.6
TCGA-05-4430-01A
59 years, female, stage:Stage IB, alive, 761 days
1857.3
TCGA-69-7765-01A
56 years, male, black or african american, stage:'--, alive, 165 days
1854.5
TCGA-95-A4VK-01A
74 years, female, white, stage:Stage IIIA, alive, 651 days
1850.5
TCGA-99-8028-01A
50 years, female, black or african american, stage:Stage IA, alive, 1118 days
1844.1
TCGA-55-7907-01A
77 years, male, white, stage:Stage IIA, dead, 343 days
1840.9
TCGA-86-6851-01A
73 years, female, white, stage:Stage IIA, alive, 179 days
1840.8
TCGA-05-5428-01A
57 years, male, stage:Stage IIA, alive, 670 days
1834.8
TCGA-55-8510-01A
55 years, female, white, stage:Stage IB, alive, 539 days
1832.2
TCGA-78-7161-01A
69 years, female, white, stage:Stage IIB, dead, 291 days
1819.9
TCGA-L9-A50W-01A
75 years, male, black or african american, stage:Stage IIA, dead, 442 days
1817.8
TCGA-95-8039-01A
72 years, male, white, stage:Stage IA, alive, 830 days
1812.7
TCGA-50-5944-01A
69 years, female, white, stage:Stage IA, alive, 1750 days
1807.0
TCGA-50-5932-01A
75 years, male, white, stage:Stage IIB, dead, 1235 days
1806.8
TCGA-44-A47B-01A
79 years, male, white, stage:Stage IB, alive, 287 days
1804.6
TCGA-99-8025-01A
72 years, female, black or african american, stage:Stage IIIA, alive, 1060 days
1804.4
TCGA-35-3615-01A
57 years, male, white, stage:Stage IB, alive, 14 days
1800.3
TCGA-49-4486-01A
72 years, male, white, stage:Stage IA, dead, 2318 days
1794.3
TCGA-55-8203-01A
69 years, female, white, stage:Stage IA, alive, 547 days
1791.0
TCGA-86-8280-01A
54 years, female, white, stage:Stage IIA, alive, 701 days
1785.8
TCGA-64-1678-01A
70 years, female, white, stage:'--, alive, 1189 days
1777.4
TCGA-62-A46P-01A
65 years, male, white, stage:Stage IB, dead, 594 days
1772.8
TCGA-MP-A4T6-01A
76 years, female, white, stage:Stage IIIA, dead, 1790 days
1745.6
TCGA-55-8207-01A
73 years, male, white, stage:Stage IB, alive, 977 days
1717.6
TCGA-NJ-A7XG-01A
49 years, male, black or african american, stage:Stage IIIA, alive, 617 days
1712.8
TCGA-55-8514-01A
70 years, female, black or african american, stage:Stage IB, alive, 520 days
1703.8
TCGA-NJ-A4YF-01A
50 years, female, black or african american, stage:Stage IA, alive, 2161 days
1695.0
TCGA-67-3771-01A
77 years, female, black or african american, stage:Stage IA, alive, 610 days
1687.2
TCGA-91-A4BD-01A
78 years, male, white, stage:Stage IIA, alive, 603 days
1686.6
TCGA-05-4396-01A
76 years, male, stage:Stage IIIB, dead, 303 days
1674.5
TCGA-97-A4M7-01A
74 years, male, white, stage:Stage IA, alive, 629 days
1669.0
TCGA-05-5425-01A
68 years, male, stage:Stage IIB, alive, 882 days
1667.6
TCGA-53-A4EZ-01A
63 years, male, white, stage:Stage IIA, alive, 1071 days
1651.8
TCGA-55-7574-01A
64 years, female, white, stage:Stage IB, dead, 995 days
1650.4
TCGA-64-5778-01A
60 years, male, white, stage:Stage IB, alive, 1305 days
1647.1
TCGA-55-8208-01A
73 years, female, white, stage:Stage IA, alive, 674 days
1643.6
TCGA-86-8668-01A
61 years, female, white, stage:Stage IA, alive, 423 days
1642.4
TCGA-NJ-A4YG-01A
65 years, male, white, stage:Stage IB, alive, 2261 days
1637.4
TCGA-55-8511-01A
73 years, female, white, stage:Stage IB, alive, 552 days
1624.1
TCGA-55-A48Y-01A
69 years, male, white, stage:Stage IIA, alive, 630 days
1624.0
TCGA-73-4677-01A
74 years, male, white, stage:'--, dead, 38 days
1623.1
TCGA-93-7347-01A
76 years, female, white, stage:Stage IA, alive, 683 days
1614.5
TCGA-50-6597-01A
79 years, female, white, stage:Stage IB, dead, 1268 days
1613.3
TCGA-55-8616-01A
58 years, female, white, stage:Stage IB, alive, 48 days
1612.9
TCGA-55-1592-01A
65 years, male, white, stage:Stage IA, dead, 701 days
1609.9
TCGA-05-4420-01A
41 years, male, stage:Stage IB, alive, 912 days
1609.1
TCGA-55-6979-01A
59 years, female, white, stage:Stage IIB, dead, 237 days
1597.7
TCGA-50-5055-01A
79 years, female, white, stage:Stage IIA, dead, 1830 days
1583.5
TCGA-67-3772-01A
82 years, female, white, stage:Stage IB, alive, 573 days
1580.9
TCGA-05-4422-01A
68 years, male, stage:Stage IB, alive, 365 days
1547.6
TCGA-05-4432-01A
66 years, male, stage:Stage IIB, alive, 761 days
1537.2
TCGA-83-5908-01A
59 years, female, white, stage:Stage IA, alive, 824 days
1536.7
TCGA-69-7761-01A
84 years, male, white, stage:Stage IB, alive, 186 days
1529.2
TCGA-55-7725-01A
68 years, female, white, stage:Stage IA, alive, 442 days
1528.3
TCGA-78-7152-01A
65 years, male, white, stage:Stage IB, dead, 1215 days
1523.9
TCGA-95-A4VP-01A
66 years, female, white, stage:Stage IIIA, alive, 605 days
1523.3
TCGA-64-1681-01A
61 years, female, white, stage:Stage IA, dead, 1167 days
1520.5
TCGA-NJ-A4YI-01A
87 years, female, white, stage:Stage IIIA, dead, 4 days
1517.9
TCGA-64-1680-01A
63 years, male, white, stage:Stage IV, alive, 1126 days
1514.7
TCGA-55-A57B-01A
80 years, female, black or african american, stage:Stage IA, alive, 546 days
1512.8
TCGA-97-A4M5-01A
83 years, male, white, stage:Stage IA, alive, 634 days
1511.1
TCGA-67-3773-01A
84 years, female, white, stage:Stage IB, alive, 427 days
1503.4
TCGA-05-4425-01A
70 years, female, stage:Stage IV, alive, 669 days
1498.5
TCGA-53-7813-01A
51 years, female, white, stage:Stage IIIB, alive, 424 days
1496.4
TCGA-MP-A4T4-01A
68 years, female, white, stage:Stage IIB, dead, 2617 days
1490.4
TCGA-86-A456-01A
78 years, female, asian, stage:Stage IA, alive, 896 days
1476.5
TCGA-95-7948-01A
42 years, female, white, stage:Stage IB, alive, 476 days
1460.3
TCGA-86-8671-01A
72 years, female, white, stage:Stage IIB, alive, 839 days
1456.0
TCGA-44-3918-01A
60 years, female, white, stage:Stage IA, alive, 1036 days
1454.4
TCGA-97-A4M6-01A
45 years, female, white, stage:Stage IA, alive, 568 days
1448.9
TCGA-91-6849-01A
75 years, female, black or african american, stage:Stage IIIA, alive, 35 days
1448.4
TCGA-55-8508-01A
60 years, female, black or african american, stage:Stage IIA, alive, 617 days
1440.3
TCGA-44-6775-01A
72 years, female, white, stage:Stage IB, alive, 705 days
1436.4
TCGA-44-3396-01A
74 years, female, white, stage:Stage IIIA, alive, 1130 days
1426.7
TCGA-91-6835-01A
81 years, female, white, stage:Stage IA, alive, 79 days
1414.3
TCGA-97-7553-01A
58 years, female, white, stage:Stage IA, alive, 1870 days
1412.7
TCGA-50-5930-01A
47 years, male, white, stage:Stage IIIA, dead, 282 days
1411.5
TCGA-J2-A4AG-01A
66 years, female, white, stage:Stage IA, alive, 988 days
1406.5
TCGA-69-7763-01A
69 years, male, white, stage:Stage IA, alive, 690 days
1399.1
TCGA-55-8621-01A
75 years, female, white, stage:Stage IA, alive, 515 days
1385.7
TCGA-78-7540-01A
66 years, female, white, stage:Stage IB, dead, 1197 days
1385.4
TCGA-L9-A8F4-01A
64 years, female, black or african american, stage:Stage IB, alive, 476 days
1383.7
TCGA-73-7499-01A
81 years, female, white, stage:Stage IB, dead, 1531 days
1379.8
TCGA-78-7633-01A
67 years, male, white, stage:Stage IB, dead, 1528 days
1378.3
TCGA-78-7539-01A
75 years, female, white, stage:Stage IIA, alive, 791 days
1372.6
TCGA-55-6642-01A
63 years, male, white, stage:Stage IB, alive, 2449 days
1368.4
TCGA-38-4626-01A
57 years, female, white, stage:'--, alive, 3674 days
1354.5
TCGA-MP-A4TJ-01A
62 years, female, stage:Stage IA, dead, 339 days
1353.6
TCGA-49-AAR4-01A
51 years, male, black or african american, stage:Stage IIIA, dead, 879 days
1341.9
TCGA-78-8648-01A
58 years, female, stage:Stage IIB, dead, 1209 days
1341.1
TCGA-75-6206-01A
male, stage:Stage IB, alive, 2590 days
1340.6
TCGA-44-6776-01A
60 years, female, white, stage:Stage IA, alive, 2616 days
1333.8
TCGA-75-7025-01A
male, stage:Stage IB, alive, 3305 days
1331.6
TCGA-44-2656-01A
59 years, male, white, stage:Stage IB, alive, 1429 days
1317.6
TCGA-78-7156-01A
62 years, male, white, stage:Stage IV, dead, 976 days
1316.7
TCGA-55-7815-01A
76 years, male, stage:Stage IB, alive, 773 days
1309.0
TCGA-05-4249-01A
67 years, male, stage:Stage IB, alive, 1523 days
1306.2
TCGA-86-8359-01A
52 years, male, white, stage:Stage IIIA, dead, 444 days
1300.2
TCGA-55-8619-01A
72 years, female, white, stage:Stage IIB, alive, 416 days
1299.2
TCGA-L9-A444-01A
60 years, female, white, stage:Stage IA, alive, 307 days
1297.3
TCGA-50-5049-01A
70 years, male, white, stage:Stage IA, alive, 3094 days
1297.2
TCGA-55-7816-01A
49 years, female, white, stage:Stage IV, dead, 468 days
1296.7
TCGA-44-6778-01A
59 years, male, black or african american, stage:Stage IA, alive, 1864 days
1290.4
TCGA-44-3917-01A
33 years, female, white, stage:Stage IB, alive, 1183 days
1290.4
TCGA-71-6725-01A
48 years, female, asian, stage:Stage IB, alive, 256 days
1285.3
TCGA-91-8497-01A
75 years, female, white, stage:Stage IA, dead, 434 days
1282.5
TCGA-53-7626-01A
76 years, female, white, stage:Stage IIA, dead, 929 days
1276.1
TCGA-93-A4JN-01A
71 years, male, white, stage:Stage IV, alive, 718 days
1271.0
TCGA-55-7727-01A
70 years, male, white, stage:Stage IIIA, alive, 119 days
1264.0
TCGA-55-A48X-01A
63 years, female, white, stage:Stage IIA, alive, 689 days
1262.9
TCGA-L9-A743-01A
56 years, male, black or african american, stage:Stage IIA, alive, 664 days
1259.1
TCGA-97-7554-01A
83 years, female, white, stage:Stage IIIA, alive, 775 days
1238.7
TCGA-73-4662-01A
65 years, female, white, stage:Stage IA, alive, 2515 days
1235.0
TCGA-97-8174-01A
67 years, male, white, stage:Stage IIA, dead, 164 days
1231.2
TCGA-86-A4P7-01A
63 years, female, white, stage:Stage IB, alive, 415 days
1227.1
TCGA-55-6972-01A
72 years, male, white, stage:Stage IB, dead, 1632 days
1225.8
TCGA-55-7283-01A
76 years, female, white, stage:Stage IIIA, alive, 609 days
1222.5
TCGA-93-A4JP-01A
64 years, male, asian, stage:Stage IV, alive, 578 days
1211.3
TCGA-49-4501-01A
67 years, female, white, stage:Stage IB, dead, 1421 days
1203.3
TCGA-49-4510-01A
51 years, female, black or african american, stage:Stage IIB, dead, 896 days
1198.6
TCGA-55-7573-01A
72 years, female, white, stage:Stage IA, alive, 487 days
1196.0
TCGA-MP-A5C7-01A
76 years, female, white, stage:Stage IB, alive, 2248 days
1194.4
TCGA-78-7537-01A
72 years, male, stage:Stage IB, dead, 1622 days
1187.4
TCGA-44-6148-01A
60 years, male, white, stage:Stage IA, alive, 704 days
1182.3
TCGA-44-A4SU-01A
67 years, female, white, stage:Stage IA, dead, 409 days
1181.3
TCGA-97-8172-01A
75 years, female, white, stage:Stage IB, alive, 545 days
1178.2
TCGA-69-7764-01A
75 years, male, white, stage:Stage IA, alive, 414 days
1176.0
TCGA-97-7552-01A
70 years, male, white, stage:Stage IB, alive, 1932 days
1166.6
TCGA-97-7547-01A
67 years, female, white, stage:Stage IB, alive, 1965 days
1153.1
TCGA-86-8056-01A
63 years, female, white, stage:Stage IIIA, alive, 139 days
1146.2
TCGA-55-8513-01A
77 years, female, white, stage:Stage IIB, alive, 791 days
1142.6
TCGA-O1-A52J-01A
74 years, female, white, stage:Stage IA, dead, 1798 days
1141.0
TCGA-78-7162-01A
75 years, male, white, stage:Stage IA, dead, 3169 days
1121.1
TCGA-62-A46S-01A
73 years, male, white, stage:Stage IB, dead, 1653 days
1081.9
TCGA-64-5779-01A
61 years, male, white, stage:Stage IIIA, alive, 864 days
1081.5
TCGA-55-8512-01A
41 years, male, white, stage:Stage IV, dead, 607 days
1079.2
TCGA-91-6840-01A
59 years, female, white, stage:Stage IA, alive, 372 days
1078.0
TCGA-73-7498-01A
58 years, female, white, stage:Stage IA, alive, 1189 days
1077.2
TCGA-38-7271-01A
72 years, female, white, stage:Stage IA, dead, 800 days
1067.6
TCGA-78-7153-01A
65 years, female, white, stage:Stage IB, alive, 3635 days
1060.1
TCGA-67-3770-01A
70 years, female, white, stage:Stage IA, alive, 610 days
1053.4
TCGA-44-2666-01A
43 years, male, white, stage:Stage IB, dead, 97 days
1027.8
TCGA-55-7914-01A
71 years, female, white, stage:Stage IIA, dead, 187 days
1018.2
TCGA-91-A4BC-01A
59 years, male, white, stage:Stage IIA, alive, 44 days
1012.6
TCGA-91-6828-01A
70 years, male, white, stage:Stage IA, alive, 323 days
1011.0
TCGA-44-2659-01A
65 years, female, white, stage:Stage IIB, alive, 1367 days
1001.7
TCGA-S2-AA1A-01A
68 years, female, black or african american, stage:Stage IA, alive, 513 days
1000.4
TCGA-97-8552-01A
55 years, female, white, stage:Stage I, alive, 626 days
999.5
TCGA-86-8073-01A
58 years, male, white, stage:Stage IB, alive, 740 days
995.4
TCGA-50-5068-01A
59 years, female, white, stage:Stage IIB, dead, 1499 days
994.6
TCGA-05-4405-01A
74 years, female, stage:Stage IB, alive, 610 days
993.1
TCGA-44-2655-01A
65 years, female, white, stage:Stage IA, alive, 1324 days
990.3
TCGA-38-4628-01A
65 years, female, white, stage:Stage IIB, dead, 1492 days
988.8
TCGA-67-3774-01A
73 years, female, white, stage:Stage IB, alive, 385 days
984.4
TCGA-69-8254-01A
85 years, male, white, stage:'--, alive, 409 days
978.0
TCGA-97-A4M2-01A
66 years, male, white, stage:Stage IA, alive, 624 days
974.4
TCGA-44-6147-01A
67 years, female, white, stage:Stage IA, alive, 845 days
973.7
TCGA-75-5146-01A
male, stage:Stage IB, alive, 2368 days
963.5
TCGA-55-8092-01A
75 years, male, white, stage:Stage IIB, dead, 154 days
954.7
TCGA-67-6217-01A
73 years, female, white, stage:Stage IIA, alive, 422 days
952.8
TCGA-L4-A4E6-01A
67 years, male, white, stage:Stage IA, alive, 435 days
949.3
TCGA-44-7659-01A
70 years, male, white, stage:Stage IA, alive, 691 days
948.7
TCGA-91-8496-01A
63 years, female, white, stage:Stage IB, alive, 505 days
935.7
TCGA-J2-A4AE-01A
77 years, female, white, stage:Stage IA, alive, 1079 days
923.8
TCGA-05-5420-01A
67 years, male, stage:Stage IIIA, alive, 457 days
922.3
TCGA-55-8087-01A
59 years, female, white, stage:Stage IB, alive, 462 days
917.5
TCGA-99-AA5R-01A
70 years, female, black or african american, stage:Stage IA, alive, 658 days
896.1
TCGA-93-7348-01A
75 years, female, white, stage:Stage IA, alive, 531 days
874.9
TCGA-55-8206-01A
56 years, male, white, stage:Stage IA, alive, 888 days
866.2
TCGA-44-A479-01A
73 years, female, black or african american, stage:Stage IB, alive, 486 days
856.8
TCGA-MP-A4TH-01A
70 years, female, white, stage:Stage IA, alive, 741 days
848.0
TCGA-44-5645-01A
61 years, female, black or african american, stage:Stage IA, alive, 852 days
846.5
TCGA-50-5935-01A
86 years, female, white, stage:Stage IA, dead, 653 days
844.1
TCGA-55-8097-01A
60 years, female, white, stage:Stage IA, alive, 476 days
820.1
TCGA-97-7546-01A
76 years, female, white, stage:Stage IA, alive, 1285 days
817.5
TCGA-44-2657-01A
74 years, female, white, stage:Stage IB, alive, 1351 days
809.9
TCGA-05-5423-01A
65 years, male, stage:Stage IIB, alive, 151 days
782.1
TCGA-86-A4P8-01A
59 years, female, white, stage:Stage IIIA, alive, 805 days
771.8
TCGA-50-8457-01A
63 years, female, black or african american, stage:Stage IA, alive, 1125 days
770.7
TCGA-49-AARR-01A
68 years, male, black or african american, stage:Stage IA, alive, 4992 days
761.5
TCGA-NJ-A55A-01A
76 years, female, white, stage:Stage IB, alive, 15 days
760.7
TCGA-44-2661-01A
69 years, female, white, stage:Stage IA, alive, 1159 days
724.3
TCGA-97-A4M1-01A
52 years, female, white, stage:Stage IA, alive, 601 days
701.4
TCGA-50-5942-01A
67 years, female, white, stage:Stage IA, alive, 1847 days
640.3
TCGA-44-6146-01A
64 years, male, white, stage:Stage IIB, alive, 728 days
625.5
TCGA-62-A46R-01A
54 years, female, white, stage:Stage IB, dead, 1725 days
580.3
TCGA-L9-A7SV-01A
69 years, male, black or african american, stage:Stage IIA, alive, 565 days
557.4
TCGA-55-A4DG-01A
71 years, male, white, stage:Stage IA, alive, 608 days
546.4
TCGA-97-7938-01A
76 years, female, white, stage:Stage IA, dead, 18 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GAPDH is validated prognostic, high expression is unfavorable in Lung Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 4.51
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000089
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
17%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
61%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1880.4
Number of samples
105
Samples
Sample
Description
TPM
L749
49 years, female, stage:Stage IIIA, dead, 189 days
5290.9
L458
76 years, female, stage:Stage IA, dead, 223 days
4244.9
L728
77 years, male, stage:Stage IIB, dead, 1128 days
4131.3
L682
64 years, female, stage:Stage IIB, dead, 840 days
4120.1
L887
77 years, male, stage:Stage IA, dead, 374 days
3786.4
L504
65 years, female, stage:Stage IA, dead, 1295 days
3730.9
L768
60 years, male, stage:Stage IIIA, dead, 472 days
3669.3
L484
64 years, female, stage:Stage IA, alive, 2895 days
3493.7
L695
68 years, female, stage:Stage IB, dead, 1762 days
3426.4
L688
57 years, male, stage:Stage IIIA, dead, 789 days
3362.4
L662
66 years, male, stage:Stage IA, dead, 865 days
3223.3
L541
70 years, female, stage:Stage IIIA, dead, 915 days
3208.6
L766
59 years, male, stage:Stage IB, alive, 1793 days
3132.7
L557
81 years, female, stage:Stage IB, alive, 2580 days
3114.9
L703
71 years, male, stage:Stage IIA, dead, 1137 days
3099.9
L867
62 years, female, stage:Stage IIIA, dead, 317 days
3058.9
L890
56 years, female, stage:Stage IIB, dead, 1264 days
2867.2
L613
72 years, male, stage:Stage IIIA, dead, 19 days
2806.4
L773
64 years, female, stage:Stage IV, dead, 311 days
2780.6
L530
76 years, female, stage:Stage IIA, dead, 308 days
2641.8
L683
77 years, female, stage:Stage IIA, dead, 612 days
2631.2
L638
65 years, male, stage:Stage IA, alive, 2076 days
2625.3
L810
64 years, female, stage:Stage IIIA, dead, 625 days
2582.7
L606
55 years, male, stage:Stage IA, alive, 2336 days
2567.7
L871
74 years, male, stage:Stage IB, dead, 873 days
2488.8
L612
80 years, female, stage:Stage IIIA, alive, 2410 days
2462.8
L561
62 years, female, stage:Stage IA, alive, 2543 days
2455.3
L689
69 years, male, stage:Stage IA, alive, 1943 days
2419.4
L531
74 years, male, stage:Stage IB, dead, 928 days
2248.7
L607
59 years, male, stage:Stage IB, alive, 2572 days
2247.6
L617
68 years, male, stage:Stage IIIA, dead, 238 days
2219.1
L619
68 years, female, stage:Stage IIIA, dead, 1905 days
2186.4
L551
62 years, male, stage:Stage IA, alive, 2924 days
2086.1
L567
83 years, female, stage:Stage IIIA, dead, 1299 days
2075.5
L532
69 years, female, stage:Stage IA, dead, 301 days
2062.3
L828
68 years, female, stage:Stage IIB, alive, 2222 days
2016.3
L565
59 years, female, stage:Stage IB, dead, 543 days
2006.4
L599
80 years, male, stage:Stage IB, dead, 2083 days
1987.2
L493
56 years, female, stage:Stage IIB, alive, 2945 days
1889.9
L546
57 years, male, stage:Stage IA, dead, 973 days
1841.7
L656
58 years, male, stage:Stage IA, alive, 2227 days
1824.3
L601
75 years, male, stage:Stage IB, dead, 2068 days
1810.1
L440
80 years, male, stage:Stage IIB, dead, 651 days
1798.1
L585
70 years, female, stage:Stage IIA, dead, 402 days
1797.1
L710
72 years, female, stage:Stage IIA, alive, 1775 days
1752.6
L621
79 years, female, stage:Stage IIIA, dead, 1487 days
1729.5
L678
65 years, female, stage:Stage IB, dead, 1114 days
1721.4
L543
65 years, male, stage:Stage IA, alive, 2711 days
1714.1
L473
66 years, female, stage:Stage IA, alive, 3021 days
1708.9
L778
65 years, female, stage:Stage IA, alive, 1600 days
1707.8
L842
62 years, female, stage:Stage IB, alive, 2005 days
1685.0
L593
78 years, male, stage:Stage IA, dead, 2436 days
1677.0
L731
59 years, female, stage:Stage IA, dead, 964 days
1666.1
L462
67 years, male, stage:Stage IIIA, dead, 568 days
1645.8
L616
54 years, male, stage:Stage IA, dead, 410 days
1640.1
L802
62 years, female, stage:Stage IA, dead, 773 days
1637.6
L808
48 years, female, stage:Stage IA, alive, 3001 days
1631.4
L746
64 years, female, stage:Stage IIIA, dead, 594 days
1612.0
L663
62 years, female, stage:Stage IB, alive, 2018 days
1569.6
L738
74 years, female, stage:Stage IB, dead, 1314 days
1564.1
L413
72 years, female, stage:Stage IIIA, dead, 313 days
1535.0
L569
76 years, female, stage:Stage IA, alive, 2531 days
1526.7
L879
75 years, male, stage:Stage IV, dead, 873 days
1476.6
L673
74 years, female, stage:Stage IA, dead, 568 days
1474.6
L827
70 years, male, stage:Stage IIB, dead, 1105 days
1459.4
L446
71 years, female, stage:Stage IIB, dead, 415 days
1455.8
L545
60 years, female, stage:Stage IA, alive, 2874 days
1430.7
L626
76 years, female, stage:Stage IA, dead, 1994 days
1426.8
L605
74 years, female, stage:Stage IA, alive, 2460 days
1424.4
L596
74 years, female, stage:Stage IA, alive, 2319 days
1418.3
L865
75 years, female, stage:Stage IIB, alive, 1927 days
1392.8
L404
74 years, female, stage:Stage IIA, dead, 2318 days
1380.4
L752
65 years, male, stage:Stage IIIA, alive, 1647 days
1377.8
L400
78 years, male, stage:Stage IIA, dead, 1233 days
1274.9
L874
56 years, female, stage:Stage IIIA, alive, 1733 days
1226.5
L764
66 years, male, stage:Stage IIIA, alive, 1684 days
1207.1
L566
58 years, male, stage:Stage IB, alive, 2489 days
1201.4
L630
65 years, female, stage:Stage IA, dead, 1733 days
1199.3
L735
75 years, female, stage:Stage IA, alive, 1830 days
1171.7
L800
66 years, female, stage:Stage IA, dead, 2417 days
1163.5
L831
62 years, female, stage:Stage IB, alive, 2152 days
1133.6
L791
66 years, female, stage:Stage IIIA, dead, 368 days
1113.2
L838
71 years, female, stage:Stage IA, dead, 1005 days
1050.5
L620
70 years, female, stage:Stage IIIA, dead, 338 days
1037.2
L872
71 years, female, stage:Stage IA, alive, 1793 days
1008.2
L877
70 years, female, stage:Stage IA, alive, 1599 days
994.1
L816
73 years, female, stage:Stage IIA, dead, 353 days
993.5
L439
80 years, male, stage:Stage IIB, dead, 2773 days
990.2
L826
45 years, female, stage:Stage IV, dead, 935 days
985.6
L725
64 years, female, stage:Stage IA, alive, 1830 days
962.6
L455
52 years, female, stage:Stage IA, alive, 3315 days
936.6
L885
62 years, female, stage:Stage IA, alive, 1618 days
914.0
L511
56 years, female, stage:Stage IIIA, alive, 2942 days
912.0
L603
70 years, female, stage:Stage IB, dead, 972 days
861.6
L873
62 years, female, stage:Stage IA, alive, 1740 days
854.1
L880
75 years, female, stage:Stage IA, alive, 1767 days
847.8
L875
69 years, female, stage:Stage IA, alive, 1675 days
795.2
L851
70 years, male, stage:Stage IB, dead, 1315 days
784.8
L850
77 years, male, stage:Stage IIIA, dead, 997 days
767.3
L832
65 years, female, stage:Stage IA, alive, 2145 days
737.0
L602
69 years, female, stage:Stage IA, alive, 2277 days
721.3
L814
73 years, male, stage:Stage IIIA, alive, 2466 days
718.7
L782
73 years, female, stage:Stage IIB, alive, 3371 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GAPDH is not prognostic in Lung Squamous Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.81
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.082
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
54%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
46%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
5487.1
Number of samples
489
Samples
Sample
Description
TPM
TCGA-21-5786-01A
64 years, male, white, stage:Stage IB, alive, 1032 days
20507.9
TCGA-MF-A522-01A
54 years, male, white, stage:Stage IB, dead, 360 days
17164.3
TCGA-18-3417-01A
65 years, male, stage:Stage IV, dead, 1097 days
17138.5
TCGA-22-5473-01A
78 years, male, white, stage:'--, dead, 1933 days
16534.7
TCGA-60-2723-01A
74 years, female, white, stage:Stage IB, alive, 1092 days
16027.9
TCGA-56-8304-01A
73 years, female, white, stage:Stage IA, alive, 106 days
15559.8
TCGA-43-3394-01A
52 years, male, black or african american, stage:Stage IB, dead, 1190 days
14864.0
TCGA-22-5477-01A
65 years, male, white, stage:Stage IA, dead, 1346 days
14786.2
TCGA-63-7023-01A
male, stage:Stage IIA, alive, 1682 days
14132.7
TCGA-43-A474-01A
66 years, male, white, stage:Stage IIA, alive, 353 days
13782.9
TCGA-98-8023-01A
70 years, male, white, stage:Stage IIIA, alive, 649 days
13719.7
TCGA-43-6770-01A
59 years, female, black or african american, stage:Stage IB, alive, 653 days
13529.3
TCGA-21-A5DI-01A
77 years, male, white, stage:Stage IA, alive, 979 days
12364.0
TCGA-56-8504-01A
74 years, male, white, stage:Stage IB, alive, 510 days
12345.0
TCGA-77-6845-01A
69 years, male, white, stage:Stage IIB, dead, 708 days
12227.2
TCGA-21-1075-01A
57 years, male, white, stage:Stage IIB, alive, 2134 days
12205.1
TCGA-77-7140-01A
69 years, female, white, stage:Stage IIB, dead, 632 days
12032.6
TCGA-22-5471-01A
75 years, male, white, stage:Stage IB, alive, 1845 days
11680.7
TCGA-22-1012-01A
80 years, female, white, stage:Stage IB, dead, 429 days
11629.0
TCGA-56-7222-01A
60 years, male, white, stage:Stage IB, dead, 562 days
11599.5
TCGA-63-A5MI-01A
65 years, male, stage:Stage IIIA, alive, 1784 days
11325.4
TCGA-77-8138-01A
74 years, male, stage:Stage IB, dead, 539 days
11238.9
TCGA-22-5485-01A
58 years, female, white, stage:Stage IA, dead, 916 days
10927.7
TCGA-22-4599-01A
73 years, female, white, stage:Stage IB, dead, 1161 days
10753.8
TCGA-77-7142-01A
59 years, female, white, stage:Stage IB, alive, 2227 days
10690.8
TCGA-39-5036-01A
73 years, male, white, stage:Stage IB, alive, 2165 days
10585.0
TCGA-L3-A524-01A
45 years, female, white, stage:Stage IIB, dead, 490 days
10558.8
TCGA-33-4532-01A
68 years, male, white, stage:Stage IB, dead, 3924 days
10551.1
TCGA-85-8666-01A
65 years, male, white, stage:Stage IB, dead, 687 days
10471.0
TCGA-66-2766-01A
54 years, male, stage:Stage IIIA, alive, 31 days
10432.3
TCGA-94-A5I6-01A
62 years, male, white, stage:Stage IIB, alive, 538 days
10332.0
TCGA-66-2753-01A
69 years, male, stage:Stage IB, alive, 31 days
10181.7
TCGA-43-A56V-01A
61 years, male, black or african american, stage:Stage IIIA, alive, 366 days
10120.5
TCGA-77-8007-01A
68 years, male, stage:Stage IIB, dead, 198 days
10104.6
TCGA-22-4591-01A
80 years, male, white, stage:Stage IIIA, dead, 623 days
9957.5
TCGA-58-A46N-01A
52 years, male, white, stage:Stage IB, alive, 910 days
9945.3
TCGA-56-7730-01A
73 years, male, white, stage:Stage IIA, dead, 198 days
9842.1
TCGA-90-7767-01A
56 years, male, white, stage:Stage IIB, alive, 89 days
9841.0
TCGA-18-5595-01A
50 years, male, stage:Stage IB, dead, 827 days
9794.8
TCGA-77-A5G6-01A
66 years, male, stage:Stage IIIA, dead, 678 days
9734.7
TCGA-66-2769-01A
75 years, male, stage:Stage IIIB, dead, 215 days
9698.4
TCGA-85-6798-01A
57 years, male, white, stage:Stage IIIA, dead, 195 days
9608.5
TCGA-77-8128-01A
60 years, male, stage:Stage IIIA, dead, 1150 days
9534.1
TCGA-LA-A7SW-01A
71 years, male, black or african american, stage:Stage IIIA, dead, 408 days
9497.8
TCGA-33-4582-01A
55 years, male, white, stage:Stage IA, dead, 3149 days
9465.2
TCGA-33-4586-01A
57 years, male, white, stage:Stage IIIA, dead, 428 days
9457.2
TCGA-58-8392-01A
70 years, male, white, stage:Stage IB, dead, 501 days
9341.7
TCGA-85-A53L-01A
63 years, male, asian, stage:Stage IIA, alive, 377 days
9292.9
TCGA-66-2783-01A
67 years, male, stage:Stage IIIB, alive, 759 days
9281.1
TCGA-60-2708-01A
64 years, female, white, stage:Stage IIB, alive, 2447 days
9189.3
TCGA-85-A511-01A
62 years, male, white, stage:Stage IIB, dead, 455 days
9095.9
TCGA-39-5019-01A
70 years, male, white, stage:Stage IB, alive, 3387 days
9082.4
TCGA-77-8153-01A
77 years, female, stage:Stage IB, alive, 1992 days
9064.5
TCGA-94-A5I4-01A
61 years, male, white, stage:Stage IIA, alive, 491 days
9003.4
TCGA-46-6025-01A
71 years, male, white, stage:Stage IIB, alive, 324 days
8978.7
TCGA-34-2596-01A
70 years, male, white, stage:Stage IIB, dead, 80 days
8974.3
TCGA-77-7463-01A
75 years, male, white, stage:Stage IB, dead, 1423 days
8846.4
TCGA-63-7020-01A
male, stage:Stage IA, alive, 2133 days
8839.1
TCGA-37-3792-01A
69 years, male, white, stage:Stage IB, alive, 12 days
8784.6
TCGA-NC-A5HM-01A
76 years, male, white, stage:Stage IB, alive, 1212 days
8747.4
TCGA-94-7033-01A
73 years, male, white, stage:Stage IB, alive, 640 days
8725.4
TCGA-85-8664-01A
73 years, male, white, stage:Stage IIB, dead, 550 days
8546.6
TCGA-94-8035-01A
64 years, male, white, stage:Stage IIB, alive, 122 days
8497.7
TCGA-NK-A7XE-01A
66 years, male, black or african american, stage:Stage IIIB, alive, 13 days
8495.9
TCGA-33-6738-01A
80 years, male, white, stage:Stage IIIA, alive, 1927 days
8470.2
TCGA-NK-A5CT-01A
70 years, male, white, stage:Stage IA, alive, 1997 days
8446.0
TCGA-43-6771-01A
85 years, male, white, stage:Stage IB, dead, 166 days
8409.1
TCGA-85-A512-01A
46 years, male, white, stage:Stage IIA, alive, 465 days
8392.9
TCGA-77-8148-01A
68 years, male, stage:Stage IIIA, alive, 2023 days
8379.1
TCGA-34-5928-01A
83 years, female, white, stage:Stage IIB, alive, 1196 days
8366.2
TCGA-66-2794-01A
64 years, male, stage:Stage IIIB, alive, 1645 days
8324.2
TCGA-18-5592-01A
57 years, male, stage:Stage IIB, alive, 1519 days
8306.8
TCGA-66-2734-01A
62 years, female, stage:Stage IB, alive, 1311 days
8275.5
TCGA-77-8009-01A
68 years, male, stage:Stage IIB, dead, 1695 days
8247.0
TCGA-77-8144-01A
70 years, male, stage:Stage IB, alive, 833 days
8230.6
TCGA-77-7337-01A
65 years, male, white, stage:Stage IIB, dead, 3253 days
8191.2
TCGA-92-7341-01A
71 years, male, white, stage:Stage IB, alive, 106 days
8187.3
TCGA-NC-A5HD-01A
79 years, male, white, stage:Stage IIB, dead, 2 days
8183.2
TCGA-68-A59J-01A
74 years, female, white, stage:Stage IB, alive, 448 days
8116.1
TCGA-33-4566-01A
40 years, male, white, stage:Stage IB, dead, 5287 days
7952.8
TCGA-58-8391-01A
57 years, female, white, stage:Stage IIIA, alive, 2167 days
7936.9
TCGA-22-5479-01A
64 years, male, white, stage:Stage IB, dead, 2625 days
7867.5
TCGA-66-2765-01A
64 years, male, stage:Stage IB, alive, 61 days
7853.6
TCGA-51-6867-01A
72 years, female, white, stage:Stage I, dead, 1856 days
7840.8
TCGA-33-4583-01A
73 years, male, white, stage:Stage IA, dead, 4601 days
7829.8
TCGA-96-A4JK-01A
65 years, male, white, stage:Stage IIA, alive, 589 days
7814.3
TCGA-21-1083-01A
75 years, male, white, stage:Stage IA, dead, 1315 days
7813.9
TCGA-85-7699-01A
73 years, male, white, stage:Stage IIIA, dead, 1001 days
7805.1
TCGA-85-A4JB-01A
74 years, male, white, stage:Stage IIB, alive, 942 days
7795.8
TCGA-60-2724-01A
47 years, male, white, stage:Stage IIIA, alive, 717 days
7774.1
TCGA-90-7964-01A
70 years, male, white, stage:Stage IB, alive, 428 days
7747.2
TCGA-63-A5MY-01A
63 years, male, stage:Stage IA, alive, 1052 days
7697.8
TCGA-60-2703-01A
73 years, male, white, stage:Stage IIB, dead, 2945 days
7679.3
TCGA-66-2792-01A
58 years, male, stage:Stage IIB, alive, 913 days
7648.8
TCGA-85-8052-01A
53 years, male, white, stage:Stage IIB, alive, 734 days
7634.7
TCGA-77-6842-01A
79 years, male, white, stage:Stage IIB, dead, 899 days
7626.1
TCGA-21-5782-01A
68 years, female, white, stage:Stage IB, dead, 962 days
7620.6
TCGA-39-5024-01A
65 years, female, white, stage:Stage IIIA, alive, 2510 days
7571.4
TCGA-51-4081-01A
55 years, male, white, stage:Stage IIB, alive, 911 days
7471.9
TCGA-52-7810-01A
60 years, female, white, stage:Stage IIB, alive, 923 days
7461.2
TCGA-NC-A5HH-01A
53 years, male, white, stage:Stage IA, alive, 37 days
7444.8
TCGA-39-5027-01A
73 years, male, white, stage:Stage IB, alive, 3108 days
7438.3
TCGA-63-A5MT-01A
74 years, male, stage:Stage IIB, alive, 498 days
7425.0
TCGA-NC-A5HO-01A
70 years, female, white, stage:Stage IIIA, alive, 1336 days
7383.1
TCGA-68-7755-01A
60 years, female, white, stage:Stage IIA, alive, 83 days
7295.3
TCGA-O2-A52Q-01A
44 years, female, white, stage:Stage III, dead, 113 days
7228.5
TCGA-63-A5MR-01A
70 years, female, stage:Stage IB, alive, 2716 days
7200.5
TCGA-56-1622-01A
58 years, male, white, stage:Stage IB, dead, 881 days
7152.9
TCGA-21-5783-01A
76 years, male, white, stage:Stage IB, dead, 2680 days
7118.5
TCGA-90-A4EE-01A
53 years, male, white, stage:Stage IIA, alive, 688 days
7102.5
TCGA-85-8277-01A
70 years, male, white, stage:Stage IIIA, dead, 307 days
7069.5
TCGA-46-3768-01A
58 years, male, white, stage:Stage IIIA, dead, 299 days
7062.6
TCGA-58-A46K-01A
59 years, male, white, stage:Stage IIIA, dead, 1045 days
7002.1
TCGA-NC-A5HN-01A
77 years, male, white, stage:Stage IIA, alive, 1499 days
6946.1
TCGA-85-A4CN-01A
56 years, female, white, stage:Stage IIB, alive, 1038 days
6930.0
TCGA-85-8354-01A
53 years, male, white, stage:Stage IB, alive, 995 days
6915.5
TCGA-66-2785-01A
65 years, male, stage:Stage IB, alive, 60 days
6880.7
TCGA-18-4721-01A
74 years, male, white, stage:Stage IA, alive, 4694 days
6860.7
TCGA-O2-A52W-01A
63 years, male, black or african american, stage:Stage I, dead, 261 days
6835.2
TCGA-18-3421-01A
65 years, male, white, stage:Stage IB, alive, 2645 days
6808.5
TCGA-O2-A52V-01A
75 years, female, black or african american, stage:Stage II, dead, 1335 days
6765.7
TCGA-56-8629-01A
63 years, male, white, stage:Stage IIA, alive, 481 days
6755.2
TCGA-63-A5MJ-01A
54 years, male, stage:Stage IIB, alive, 1824 days
6746.2
TCGA-39-5021-01A
70 years, male, white, stage:Stage IB, dead, 2086 days
6706.7
TCGA-58-A46J-01A
64 years, male, white, stage:Stage IIB, alive, 2589 days
6697.1
TCGA-66-2754-01A
67 years, male, stage:Stage IIIA, alive, 61 days
6610.6
TCGA-85-8070-01A
71 years, male, white, stage:Stage IB, alive, 960 days
6545.5
TCGA-43-2578-01A
59 years, female, white, stage:Stage IA, dead, 684 days
6543.0
TCGA-77-A5GA-01A
76 years, male, stage:Stage IB, alive, 1280 days
6525.4
TCGA-90-7769-01A
55 years, male, white, stage:Stage IIB, alive, 358 days
6495.3
TCGA-94-7557-01A
73 years, male, black or african american, stage:Stage IB, dead, 5 days
6486.0
TCGA-66-2795-01A
68 years, male, stage:Stage IIIB, alive, 122 days
6440.0
TCGA-34-5236-01A
60 years, male, white, stage:Stage IIB, dead, 276 days
6433.6
TCGA-22-5489-01A
64 years, male, white, stage:Stage IA, dead, 1912 days
6427.5
TCGA-85-A4QR-01A
67 years, male, white, stage:Stage IB, alive, 600 days
6394.9
TCGA-98-A538-01A
67 years, male, white, stage:Stage IIB, alive, 826 days
6392.0
TCGA-85-7950-01A
46 years, male, white, stage:Stage IB, alive, 576 days
6386.0
TCGA-52-7811-01A
67 years, male, white, stage:Stage IB, dead, 266 days
6385.6
TCGA-77-8143-01A
76 years, male, stage:Stage IIIA, dead, 803 days
6381.4
TCGA-NC-A5HF-01A
74 years, male, white, stage:Stage IIIB, dead, 138 days
6370.6
TCGA-68-8250-01A
66 years, male, black or african american, stage:Stage IA, alive, 244 days
6370.4
TCGA-LA-A446-01A
68 years, male, white, stage:Stage IA, alive, 401 days
6362.3
TCGA-22-4593-01A
77 years, male, white, stage:Stage IIA, dead, 1067 days
6335.6
TCGA-34-5929-01A
78 years, female, white, stage:Stage IB, dead, 151 days
6317.7
TCGA-22-5482-01A
81 years, male, white, stage:Stage IB, dead, 357 days
6313.1
TCGA-NC-A5HI-01A
68 years, female, white, stage:Stage IB, alive, 1743 days
6293.4
TCGA-NK-A5D1-01A
57 years, male, white, stage:Stage IIA, alive, 511 days
6289.5
TCGA-98-A53J-01A
77 years, male, white, stage:Stage IB, alive, 630 days
6280.5
TCGA-NK-A5CR-01A
77 years, male, stage:Stage IB, alive, 2542 days
6277.1
TCGA-66-2773-01A
69 years, male, stage:Stage IB, dead, 92 days
6267.5
TCGA-43-A475-01A
67 years, female, white, stage:Stage IIB, alive, 296 days
6263.5
TCGA-90-6837-01A
64 years, male, white, stage:Stage IIB, alive, 758 days
6261.5
TCGA-51-4079-01A
73 years, female, black or african american, stage:Stage IB, dead, 12 days
6210.4
TCGA-85-8350-01A
61 years, male, white, stage:Stage IA, alive, 683 days
6193.7
TCGA-43-8116-01A
73 years, male, white, stage:Stage IA, alive, 358 days
6190.2
TCGA-43-6647-01A
69 years, female, white, stage:Stage IIB, alive, 757 days
6180.2
TCGA-66-2786-01A
68 years, female, stage:Stage IA, alive, 790 days
6157.2
TCGA-77-7138-01A
67 years, male, stage:Stage IB, dead, 340 days
6155.4
TCGA-56-A4BY-01A
66 years, male, white, stage:Stage IB, dead, 543 days
6126.1
TCGA-56-A5DR-01A
81 years, male, white, stage:Stage IA, alive, 4 days
6115.2
TCGA-34-5231-01A
72 years, male, white, stage:Stage IA, dead, 1984 days
6111.3
TCGA-77-A5G3-01A
63 years, male, stage:Stage IIB, alive, 4570 days
6098.9
TCGA-68-7756-01A
84 years, male, white, stage:Stage IIIA, alive, 202 days
6058.9
TCGA-60-2720-01A
60 years, female, white, stage:Stage IB, alive, 97 days
6036.3
TCGA-60-2713-01A
64 years, male, white, stage:Stage IB, alive, 1731 days
6031.4
TCGA-92-8063-01A
52 years, male, white, stage:Stage IIIA, alive, 122 days
6026.8
TCGA-70-6723-01A
65 years, male, asian, stage:Stage IIA, alive, 375 days
5991.4
TCGA-66-2780-01A
65 years, male, stage:Stage IB, dead, 366 days
5986.2
TCGA-56-8201-01A
74 years, male, white, stage:Stage IIB, dead, 397 days
5949.8
TCGA-22-5480-01A
66 years, female, white, stage:Stage IA, dead, 2170 days
5942.6
TCGA-70-6722-01A
47 years, male, asian, stage:Stage IIIA, alive, 367 days
5917.7
TCGA-21-5787-01A
65 years, male, black or african american, stage:Stage IIIA, dead, 329 days
5917.3
TCGA-56-7580-01A
84 years, male, white, stage:Stage IB, alive, 925 days
5903.0
TCGA-60-2698-01A
62 years, male, white, stage:Stage IIB, dead, 311 days
5898.0
TCGA-21-1071-01A
67 years, male, white, stage:Stage IB, dead, 1426 days
5891.0
TCGA-85-8071-01A
52 years, male, white, stage:Stage IIA, alive, 815 days
5879.5
TCGA-34-8456-01A
71 years, female, white, stage:Stage IIA, alive, 804 days
5868.0
TCGA-33-AASL-01A
57 years, female, black or african american, stage:Stage IA, dead, 826 days
5866.7
TCGA-33-AASJ-01A
60 years, male, black or african american, stage:Stage IB, dead, 3600 days
5861.7
TCGA-NC-A5HQ-01A
70 years, male, white, stage:Stage IIIA, dead, 448 days
5797.2
TCGA-34-5241-01A
79 years, male, white, stage:Stage IB, dead, 515 days
5765.9
TCGA-66-2800-01A
70 years, male, stage:Stage IIIB, alive, 1492 days
5761.3
TCGA-56-7223-01A
66 years, male, white, stage:Stage IIIA, dead, 442 days
5756.5
TCGA-43-8118-01A
55 years, female, white, stage:Stage IA, dead, 89 days
5754.8
TCGA-60-2726-01A
56 years, male, white, stage:Stage IIA, dead, 358 days
5752.9
TCGA-63-A5MM-01A
69 years, female, stage:Stage IIB, dead, 456 days
5731.5
TCGA-O2-A52N-01A
78 years, male, white, stage:Stage I, dead, 1006 days
5715.1
TCGA-60-2706-01A
58 years, male, white, stage:Stage IA, alive, 2820 days
5689.2
TCGA-33-4589-01A
62 years, female, white, stage:Stage IIB, dead, 47 days
5686.5
TCGA-66-2742-01A
70 years, male, stage:Stage IV, alive, 641 days
5650.5
TCGA-56-5898-01A
69 years, male, white, stage:Stage IA, alive, 555 days
5643.4
TCGA-63-A5MH-01A
68 years, male, stage:Stage IA, alive, 2026 days
5618.0
TCGA-77-8146-01A
72 years, male, stage:Stage IA, alive, 3189 days
5600.6
TCGA-66-2759-01A
66 years, male, stage:Stage IIIA, alive, 762 days
5579.1
TCGA-77-A5G1-01A
75 years, male, stage:Stage IIIA, alive, 4026 days
5577.1
TCGA-60-2695-01A
74 years, female, white, stage:Stage IB, alive, 642 days
5552.9
TCGA-85-8481-01A
70 years, male, white, stage:Stage IIB, dead, 236 days
5514.3
TCGA-39-5037-01A
65 years, male, white, stage:Stage IIA, alive, 1690 days
5465.8
TCGA-77-8130-01A
69 years, male, stage:Stage IIB, alive, 4765 days
5462.2
TCGA-18-3415-01A
77 years, male, stage:Stage IB, dead, 2803 days
5460.1
TCGA-66-2727-01A
55 years, female, stage:Stage IB, dead, 516 days
5455.2
TCGA-46-6026-01A
81 years, male, white, stage:Stage IIB, alive, 423 days
5436.3
TCGA-22-0944-01A
61 years, male, white, stage:Stage IB, dead, 223 days
5428.2
TCGA-66-2755-01A
63 years, male, stage:Stage IB, alive, 28 days
5418.0
TCGA-22-A5C4-01A
70 years, male, white, stage:Stage IIA, alive, 671 days
5407.3
TCGA-56-8308-01A
79 years, male, white, stage:Stage IIB, alive, 517 days
5403.9
TCGA-66-2787-01A
57 years, male, stage:Stage IA, alive, 1217 days
5399.6
TCGA-66-2758-01A
71 years, male, stage:Stage IB, alive, 639 days
5387.5
TCGA-18-3412-01A
52 years, male, white, stage:Stage IB, dead, 345 days
5385.0
TCGA-60-2707-01A
70 years, male, stage:Stage IB, dead, 667 days
5385.0
TCGA-77-7139-01A
56 years, male, white, stage:Stage IIB, alive, 4261 days
5381.7
TCGA-33-4587-01A
63 years, female, white, stage:Stage IB, dead, 1656 days
5366.0
TCGA-85-7698-01A
48 years, male, white, stage:Stage IA, alive, 952 days
5347.6
TCGA-21-1081-01A
69 years, male, white, stage:Stage IIB, dead, 284 days
5336.7
TCGA-22-4595-01A
57 years, male, white, stage:Stage IIIA, dead, 734 days
5321.2
TCGA-66-2788-01A
56 years, male, stage:Stage IB, alive, 699 days
5310.7
TCGA-NC-A5HL-01A
73 years, male, white, stage:Stage IIA, dead, 88 days
5284.3
TCGA-NC-A5HP-01A
69 years, male, white, stage:Stage IV, dead, 770 days
5279.1
TCGA-85-8353-01A
72 years, male, white, stage:Stage IIIA, dead, 94 days
5277.3
TCGA-34-7107-01A
70 years, male, white, stage:Stage II, dead, 34 days
5274.8
TCGA-56-7221-01A
79 years, male, white, stage:Stage IB, alive, 608 days
5258.8
TCGA-85-8049-01A
57 years, male, white, stage:Stage IB, alive, 579 days
5226.6
TCGA-85-8479-01A
66 years, male, white, stage:Stage IA, alive, 468 days
5224.3
TCGA-22-4601-01A
73 years, female, white, stage:Stage IIIA, dead, 1057 days
5204.7
TCGA-66-2763-01A
63 years, female, stage:Stage IB, alive, 30 days
5194.1
TCGA-85-8351-01A
72 years, male, white, stage:Stage IIA, alive, 510 days
5174.1
TCGA-NC-A5HR-01A
75 years, female, white, stage:Stage IIA, alive, 1244 days
5173.4
TCGA-77-8156-01A
60 years, male, stage:Stage IB, alive, 1106 days
5148.7
TCGA-39-5040-01A
59 years, male, white, stage:Stage IIIA, dead, 519 days
5148.2
TCGA-85-7844-01A
71 years, male, white, stage:Stage IB, alive, 911 days
5143.5
TCGA-98-A539-01A
63 years, male, white, stage:Stage IIB, alive, 173 days
5101.5
TCGA-85-A4CL-01A
65 years, male, white, stage:Stage IA, dead, 921 days
5061.5
TCGA-18-3416-01A
83 years, male, stage:Stage IIB, dead, 973 days
5058.3
TCGA-21-1077-01A
64 years, male, white, stage:Stage IIB, dead, 1058 days
5049.9
TCGA-60-2716-01A
39 years, male, stage:Stage IIB, alive, 1475 days
5039.2
TCGA-22-5478-01A
79 years, male, stage:Stage IB, dead, 24 days
5030.3
TCGA-33-A5GW-01A
67 years, male, white, stage:Stage IIA, dead, 9 days
5026.2
TCGA-22-5483-01A
74 years, male, white, stage:Stage IIA, dead, 573 days
5025.2
TCGA-60-2719-01A
83 years, female, white, stage:Stage IB, alive, 1297 days
4968.8
TCGA-77-7335-01A
62 years, female, white, stage:Stage IIIB, dead, 2133 days
4954.0
TCGA-22-5481-01A
72 years, female, white, stage:Stage IIB, dead, 2409 days
4906.4
TCGA-94-A4VJ-01A
71 years, female, white, stage:Stage IA, alive, 430 days
4899.3
TCGA-33-AAS8-01A
59 years, female, black or african american, stage:Stage IA, dead, 1114 days
4898.4
TCGA-33-4538-01A
66 years, male, white, stage:Stage IIIA, dead, 2979 days
4894.9
TCGA-21-1079-01A
71 years, male, white, stage:Stage IIIA, dead, 965 days
4892.4
TCGA-77-7465-01A
58 years, male, white, stage:Stage IIA, alive, 990 days
4886.4
TCGA-77-8131-01A
72 years, male, stage:Stage IB, dead, 383 days
4882.1
TCGA-46-3765-01A
59 years, female, white, stage:Stage IA, alive, 405 days
4878.8
TCGA-52-7812-01A
68 years, male, white, stage:'--, dead, 835 days
4856.9
TCGA-98-A53A-01A
70 years, male, black or african american, stage:Stage IB, dead, 552 days
4853.2
TCGA-77-6844-01A
74 years, male, white, stage:Stage IIIA, dead, 2284 days
4842.1
TCGA-63-A5ML-01A
68 years, male, stage:Stage IB, alive, 1386 days
4830.2
TCGA-77-8133-01A
74 years, male, stage:Stage IIA, dead, 1640 days
4821.8
TCGA-85-8580-01A
52 years, female, white, stage:Stage IB, alive, 1113 days
4804.3
TCGA-96-7545-01A
73 years, male, white, stage:Stage IA, dead, 1736 days
4801.2
TCGA-56-A4BX-01A
70 years, male, white, stage:Stage IIA, alive, 405 days
4780.6
TCGA-21-1072-01A
75 years, male, white, stage:Stage IB, alive, 3016 days
4776.1
TCGA-22-4605-01A
78 years, female, stage:Stage IB, dead, 974 days
4733.9
TCGA-77-A5GF-01A
70 years, male, stage:Stage IIA, dead, 840 days
4724.7
TCGA-56-A49D-01A
67 years, male, white, stage:Stage IIIA, alive, 637 days
4711.4
TCGA-66-2767-01A
62 years, male, stage:Stage IIIB, alive, 61 days
4709.8
TCGA-85-7710-01A
59 years, female, white, stage:Stage IA, alive, 42 days
4704.7
TCGA-J1-A4AH-01A
70 years, male, white, stage:Stage IIA, alive, 581 days
4700.1
TCGA-77-8136-01A
74 years, female, stage:Stage IIB, dead, 1189 days
4696.7
TCGA-85-7843-01A
50 years, male, white, stage:Stage IIA, alive, 35 days
4693.4
TCGA-33-AASD-01A
83 years, male, black or african american, stage:Stage IA, dead, 2249 days
4637.7
TCGA-85-A4JC-01A
84 years, male, white, stage:Stage IIA, dead, 604 days
4635.4
TCGA-85-A50Z-01A
57 years, male, white, stage:Stage IIA, alive, 493 days
4632.5
TCGA-46-3767-01A
76 years, male, white, stage:Stage IA, alive, 396 days
4616.7
TCGA-66-2781-01A
67 years, male, stage:Stage IB, alive, 121 days
4606.4
TCGA-58-8390-01A
70 years, male, white, stage:Stage IIA, alive, 911 days
4589.0
TCGA-34-8455-01A
67 years, male, white, stage:Stage IV, dead, 123 days
4530.9
TCGA-60-2711-01A
64 years, female, white, stage:Stage IB, alive, 1260 days
4520.8
TCGA-56-6545-01A
77 years, female, white, stage:Stage IB, alive, 666 days
4519.2
TCGA-58-8387-01A
60 years, male, white, stage:Stage IIA, dead, 403 days
4515.9
TCGA-68-A59I-01A
73 years, female, black or african american, stage:Stage IIIA, alive, 492 days
4508.7
TCGA-18-3419-01A
73 years, male, stage:Stage IIB, alive, 2811 days
4506.7
TCGA-18-3409-01A
74 years, male, white, stage:Stage IA, alive, 3747 days
4496.1
TCGA-77-8154-01A
67 years, male, stage:Stage IA, alive, 1841 days
4477.0
TCGA-NC-A5HE-01A
60 years, male, white, stage:Stage IIB, alive, 2336 days
4456.6
TCGA-77-6843-01A
74 years, male, white, stage:Stage IIA, dead, 2224 days
4455.8
TCGA-60-2709-01A
69 years, male, black or african american, stage:Stage IB, alive, 1505 days
4453.0
TCGA-56-8625-01A
66 years, female, white, stage:Stage IIIA, dead, 315 days
4450.3
TCGA-18-4083-01A
63 years, male, white, stage:Stage IIB, dead, 188 days
4448.9
TCGA-34-5927-01A
70 years, female, white, stage:Stage IA, alive, 1361 days
4444.9
TCGA-85-7696-01A
64 years, male, white, stage:Stage IA, alive, 1111 days
4442.2
TCGA-22-1017-01A
62 years, male, white, stage:Stage IA, dead, 1485 days
4436.4
TCGA-56-8305-01A
72 years, male, white, stage:Stage IB, alive, 105 days
4405.3
TCGA-34-5232-01A
75 years, female, black or african american, stage:Stage IIA, alive, 2471 days
4392.5
TCGA-22-5492-01A
73 years, female, stage:Stage IIIA, dead, 506 days
4388.9
TCGA-37-A5EL-01A
53 years, male, white, stage:Stage IIB, dead, 1143 days
4387.8
TCGA-96-7544-01A
83 years, male, white, stage:Stage IIB, dead, 2160 days
4381.4
TCGA-56-A4BW-01A
55 years, male, white, stage:Stage IIA, alive, 585 days
4375.8
TCGA-66-2777-01A
71 years, male, stage:Stage IB, alive, 61 days
4344.4
TCGA-85-6560-01A
59 years, male, white, stage:Stage IIA, alive, 1259 days
4334.2
TCGA-63-A5MB-01A
62 years, male, stage:Stage IB, alive, 3123 days
4332.6
TCGA-NC-A5HT-01A
69 years, male, white, stage:Stage IIIA, alive, 804 days
4313.6
TCGA-85-7697-01A
49 years, male, white, stage:Stage IIB, alive, 1063 days
4296.1
TCGA-63-A5MW-01A
76 years, male, stage:Stage IB, alive, 1639 days
4287.2
TCGA-56-7582-01A
83 years, male, white, stage:Stage IB, alive, 601 days
4282.8
TCGA-18-4086-01A
64 years, male, stage:Stage IB, dead, 85 days
4260.8
TCGA-56-A62T-01A
78 years, male, black or african american, stage:Stage IIA, alive, 440 days
4258.3
TCGA-O2-A52S-01A
57 years, female, white, stage:Stage III, dead, 387 days
4255.2
TCGA-L3-A4E7-01A
71 years, male, white, stage:Stage IB, alive, 392 days
4244.1
TCGA-22-4613-01A
73 years, female, white, stage:Stage IA, dead, 358 days
4181.5
TCGA-60-2722-01A
66 years, male, white, stage:Stage IIB, alive, 908 days
4180.7
TCGA-66-2778-01A
68 years, female, stage:Stage IIIB, alive, 578 days
4170.4
TCGA-43-7657-01A
68 years, female, white, stage:Stage IA, alive, 236 days
4160.8
TCGA-58-8393-01A
68 years, female, white, stage:Stage IB, alive, 1058 days
4159.0
TCGA-60-2714-01A
66 years, female, white, stage:Stage IIB, alive, 1531 days
4158.6
TCGA-37-4135-01A
68 years, male, white, stage:Stage IB, alive, 207 days
4157.4
TCGA-77-8145-01A
73 years, male, stage:Stage IIIB, dead, 212 days
4148.0
TCGA-52-7622-01A
62 years, female, white, stage:Stage IA, alive, 862 days
4141.5
TCGA-56-7731-01A
66 years, female, white, stage:Stage IB, dead, 3 days
4127.0
TCGA-43-2581-01A
47 years, female, white, stage:Stage IIIA, alive, 1176 days
4073.7
TCGA-21-1080-01A
66 years, male, white, stage:Stage IB, alive, 3724 days
4071.9
TCGA-85-8288-01A
70 years, male, white, stage:Stage IIA, dead, 402 days
4070.5
TCGA-33-A4WN-01A
60 years, male, white, stage:Stage IB, dead, 143 days
4062.1
TCGA-34-8454-01A
62 years, female, white, stage:Stage IIIA, alive, 1180 days
4048.7
TCGA-43-7658-01A
75 years, female, white, stage:Stage IA, dead, 2378 days
4046.8
TCGA-43-8115-01A
72 years, female, white, stage:Stage IIA, alive, 407 days
4044.6
TCGA-63-6202-01A
male, stage:Stage IIA, alive, 1602 days
4027.0
TCGA-66-2737-01A
72 years, male, stage:Stage IIB, alive, 61 days
4024.0
TCGA-39-5029-01A
67 years, male, white, stage:Stage IIIA, dead, 740 days
4011.1
TCGA-39-5028-01A
75 years, male, white, stage:Stage IIIA, dead, 52 days
4009.6
TCGA-77-7141-01A
64 years, male, white, stage:Stage IB, alive, 15 days
4004.8
TCGA-22-1016-01A
65 years, male, white, stage:Stage IB, dead, 822 days
4003.1
TCGA-85-A4QQ-01A
68 years, male, white, stage:Stage IB, dead, 927 days
3987.7
TCGA-68-8251-01A
78 years, male, white, stage:Stage IB, alive, 406 days
3971.7
TCGA-43-6143-01A
70 years, male, white, stage:Stage IB, alive, 699 days
3964.1
TCGA-85-8276-01A
62 years, male, white, stage:Stage IIA, alive, 1050 days
3949.5
TCGA-66-2768-01A
57 years, male, stage:Stage IIB, alive, 61 days
3928.3
TCGA-66-2791-01A
66 years, male, stage:Stage IIIB, dead, 153 days
3926.7
TCGA-85-8048-01A
62 years, male, white, stage:Stage IA, alive, 765 days
3904.3
TCGA-66-2744-01A
71 years, male, stage:Stage IIB, alive, 30 days
3900.6
TCGA-66-2793-01A
68 years, male, stage:Stage IIIB, dead, 306 days
3892.2
TCGA-18-3406-01A
67 years, male, white, stage:Stage IA, dead, 371 days
3881.7
TCGA-60-2710-01A
67 years, female, white, stage:Stage IIA, alive, 2024 days
3878.1
TCGA-21-1078-01A
77 years, male, white, stage:Stage IB, dead, 474 days
3877.2
TCGA-46-3769-01A
57 years, male, white, stage:'--, alive, 135 days
3860.7
TCGA-18-3410-01A
81 years, male, stage:Stage IIB, dead, 146 days
3838.4
TCGA-66-2756-01A
68 years, male, stage:Stage IIIB, alive, 30 days
3827.9
TCGA-56-8082-01A
80 years, female, white, stage:Stage IIA, alive, 455 days
3827.7
TCGA-43-3920-01A
71 years, male, white, stage:Stage IB, alive, 1007 days
3827.1
TCGA-98-A53I-01A
64 years, male, white, stage:Stage IIA, alive, 565 days
3809.0
TCGA-22-5491-01A
74 years, male, white, stage:Stage IA, dead, 1713 days
3803.6
TCGA-56-8626-01A
59 years, male, white, stage:Stage IA, dead, 302 days
3797.8
TCGA-85-6561-01A
66 years, male, white, stage:Stage IB, alive, 1224 days
3795.1
TCGA-66-2789-01A
73 years, male, stage:Stage IIIB, dead, 123 days
3780.8
TCGA-39-5034-01A
73 years, female, white, stage:Stage IIB, dead, 1107 days
3773.1
TCGA-85-8582-01A
49 years, male, white, stage:Stage IA, alive, 1160 days
3770.3
TCGA-34-5240-01A
73 years, female, white, stage:Stage IIB, alive, 1541 days
3764.6
TCGA-63-7021-01A
male, stage:Stage IA, alive, 2142 days
3762.0
TCGA-66-2782-01A
71 years, male, stage:Stage IIB, dead, 365 days
3754.8
TCGA-98-8020-01A
56 years, female, black or african american, stage:Stage IIIA, dead, 84 days
3740.8
TCGA-21-1070-01A
60 years, female, black or african american, stage:Stage IIIA, alive, 3636 days
3733.6
TCGA-39-5035-01A
72 years, female, white, stage:Stage IA, alive, 2080 days
3721.0
TCGA-22-4604-01A
73 years, male, white, stage:Stage IIA, dead, 399 days
3688.0
TCGA-43-7656-01A
71 years, male, white, stage:Stage IA, alive, 596 days
3661.6
TCGA-22-0940-01A
71 years, male, white, stage:Stage IIA, dead, 669 days
3649.9
TCGA-66-2757-01A
65 years, female, stage:Stage IA, dead, 1338 days
3629.9
TCGA-22-1011-01A
73 years, male, white, stage:Stage IB, dead, 53 days
3627.5
TCGA-18-3408-01A
77 years, female, white, stage:Stage IB, dead, 2304 days
3618.0
TCGA-98-A53B-01A
69 years, male, white, stage:Stage IB, dead, 61 days
3593.1
TCGA-22-4607-01A
75 years, male, white, stage:Stage IB, dead, 587 days
3592.3
TCGA-58-A46M-01A
61 years, male, white, stage:Stage IIB, alive, 1072 days
3581.2
TCGA-94-8490-01A
70 years, male, white, stage:Stage IIB, alive, 153 days
3552.9
TCGA-43-5670-01A
70 years, male, white, stage:Stage IIA, alive, 849 days
3524.9
TCGA-22-5472-01A
67 years, male, white, stage:Stage IB, dead, 1975 days
3519.0
TCGA-66-2790-01A
72 years, male, stage:Stage IIB, alive, 699 days
3507.0
TCGA-56-8503-01A
76 years, female, white, stage:Stage IIB, alive, 41 days
3488.2
TCGA-85-8352-01A
67 years, male, white, stage:Stage IIIA, dead, 161 days
3484.4
TCGA-39-5039-01A
76 years, male, white, stage:Stage IIA, dead, 544 days
3469.8
TCGA-37-4133-01A
63 years, male, white, stage:Stage IIIA, alive, 238 days
3460.0
TCGA-33-6737-01A
71 years, male, white, stage:Stage IIIA, dead, 601 days
3453.5
TCGA-77-7338-01A
64 years, male, white, stage:Stage IB, dead, 5 days
3430.5
TCGA-NC-A5HJ-01A
59 years, male, white, stage:Stage IIB, dead, 418 days
3392.1
TCGA-85-A50M-01A
47 years, male, asian, stage:Stage IIA, dead, 826 days
3391.4
TCGA-56-8628-01A
78 years, male, white, stage:Stage IA, alive, 616 days
3384.9
TCGA-94-7943-01A
80 years, male, white, stage:Stage IA, alive, 559 days
3360.8
TCGA-18-3407-01A
72 years, male, asian, stage:Stage IB, dead, 136 days
3357.0
TCGA-33-4547-01A
68 years, male, white, stage:Stage IB, alive, 2419 days
3326.9
TCGA-18-3411-01A
63 years, female, stage:Stage IIIA, alive, 3576 days
3314.9
TCGA-22-4609-01A
81 years, male, white, stage:Stage IA, dead, 291 days
3314.0
TCGA-98-8021-01A
75 years, female, white, stage:Stage IA, alive, 937 days
3304.6
TCGA-37-5819-01A
64 years, male, white, stage:Stage IIIA, alive, 103 days
3278.4
TCGA-NC-A5HG-01A
59 years, male, white, stage:Stage IIIA, alive, 1963 days
3262.6
TCGA-34-A5IX-01A
80 years, male, white, stage:Stage IIB, alive, 1031 days
3261.0
TCGA-56-A4ZK-01A
76 years, female, white, stage:Stage IB, alive, 570 days
3244.7
TCGA-92-7340-01A
45 years, female, white, stage:Stage IIA, alive, 82 days
3232.0
TCGA-56-8309-01A
66 years, male, white, stage:Stage IA, alive, 428 days
3217.2
TCGA-60-2725-01A
74 years, male, white, stage:Stage IB, alive, 816 days
3205.1
TCGA-22-5474-01A
74 years, male, white, stage:Stage IB, dead, 445 days
3201.0
TCGA-56-8307-01A
55 years, female, white, stage:Stage IIB, alive, 818 days
3198.5
TCGA-96-8170-01A
75 years, female, white, stage:Stage IIA, alive, 531 days
3174.8
TCGA-85-A5B5-01A
58 years, male, white, stage:Stage IA, alive, 111 days
3166.5
TCGA-NK-A5CX-01A
73 years, male, white, stage:Stage IIA, alive, 111 days
3158.1
TCGA-85-8072-01A
60 years, male, white, stage:Stage IA, alive, 932 days
3153.2
TCGA-18-3414-01A
73 years, male, asian, stage:Stage IV, dead, 716 days
3151.0
TCGA-63-A5MV-01A
69 years, male, stage:Stage IIA, alive, 1100 days
3148.6
TCGA-34-5239-01A
75 years, male, white, stage:Stage IIIA, alive, 1834 days
3148.4
TCGA-58-A46L-01A
73 years, male, white, stage:Stage IIIA, alive, 1723 days
3142.7
TCGA-37-A5EM-01A
49 years, male, white, stage:Stage II, alive, 867 days
3118.1
TCGA-63-7022-01A
female, stage:Stage IA, alive, 2073 days
3110.8
TCGA-43-2576-01A
62 years, female, white, stage:Stage IIIA, alive, 1223 days
3093.7
TCGA-66-2770-01A
79 years, male, stage:Stage IB, alive, 700 days
3065.4
TCGA-60-2696-01A
76 years, female, black or african american, stage:Stage IIA, dead, 109 days
3053.6
TCGA-52-7809-01A
74 years, male, white, stage:Stage IB, dead, 166 days
3044.4
TCGA-77-A5GH-01A
81 years, male, stage:Stage IB, alive, 1182 days
3016.4
TCGA-39-5031-01A
76 years, female, stage:Stage IA, dead, 1841 days
3001.0
TCGA-56-A4ZJ-01A
75 years, female, white, stage:Stage IA, alive, 640 days
2991.8
TCGA-58-8388-01A
60 years, male, white, stage:Stage IB, dead, 412 days
2962.2
TCGA-33-4533-01A
76 years, female, black or african american, stage:Stage IB, alive, 4068 days
2941.9
TCGA-39-5011-01A
70 years, female, white, stage:Stage IA, alive, 4053 days
2926.9
TCGA-66-2771-01A
60 years, male, stage:Stage IIB, alive, 578 days
2917.1
TCGA-33-AASB-01A
66 years, male, black or african american, stage:Stage IB, dead, 211 days
2909.4
TCGA-77-8139-01A
72 years, male, stage:Stage IIB, alive, 3166 days
2814.2
TCGA-56-5897-01A
74 years, male, white, stage:Stage IA, alive, 378 days
2800.9
TCGA-37-A5EN-01A
59 years, male, white, stage:Stage IIIB, alive, 660 days
2767.6
TCGA-56-7822-01A
75 years, male, black or african american, stage:Stage IIB, dead, 532 days
2744.3
TCGA-77-8008-01A
68 years, male, stage:Stage IB, dead, 2639 days
2735.9
TCGA-92-8064-01A
58 years, male, white, stage:'--, alive, 160 days
2726.4
TCGA-22-1002-01A
69 years, male, white, stage:Stage IA, dead, 131 days
2721.1
TCGA-58-8386-01A
75 years, male, stage:Stage IV, dead, 1 days
2674.6
TCGA-56-8083-01A
56 years, male, white, stage:Stage IB, alive, 150 days
2664.9
TCGA-90-A59Q-01A
61 years, female, white, stage:Stage IIA, dead, 322 days
2664.8
TCGA-37-3789-01A
65 years, male, white, stage:Stage IB, alive, 13 days
2607.9
TCGA-XC-AA0X-01A
77 years, female, black or african american, stage:Stage IA, dead, 6 days
2605.3
TCGA-96-A4JL-01A
78 years, female, asian, stage:Stage IIA, alive, 842 days
2600.2
TCGA-85-A510-01A
74 years, female, white, stage:Stage IIB, alive, 482 days
2576.7
TCGA-O2-A5IB-01A
71 years, female, white, stage:Stage III, dead, 340 days
2566.9
TCGA-37-4132-01A
61 years, female, white, stage:Stage IV, alive, 227 days
2537.2
TCGA-85-6175-01A
63 years, female, white, stage:Stage IIB, dead, 294 days
2532.0
TCGA-77-8140-01A
66 years, female, stage:Stage IIB, dead, 351 days
2523.2
TCGA-37-3783-01A
51 years, male, white, stage:Stage IIIA, alive, 122 days
2517.3
TCGA-21-1076-01A
54 years, female, white, stage:Stage IB, alive, 1852 days
2513.7
TCGA-63-A5MN-01A
78 years, female, stage:Stage IIB, dead, 345 days
2499.6
TCGA-96-8169-01A
67 years, female, white, stage:Stage IA, alive, 557 days
2485.5
TCGA-63-A5MG-01A
68 years, male, stage:Stage IB, alive, 2148 days
2484.8
TCGA-39-5016-01A
44 years, male, white, stage:Stage IIA, alive, 3850 days
2480.7
TCGA-60-2704-01A
73 years, male, white, stage:Stage IIB, dead, 1154 days
2460.3
TCGA-56-A5DS-01A
72 years, female, white, stage:Stage IB, alive, 8 days
2456.1
TCGA-85-8287-01A
72 years, male, white, stage:Stage IA, dead, 23 days
2453.7
TCGA-22-1000-01A
76 years, male, white, stage:Stage IB, dead, 454 days
2370.4
TCGA-33-AASI-01A
65 years, female, black or african american, stage:Stage IIB, dead, 1344 days
2345.4
TCGA-46-3766-01A
62 years, female, white, stage:Stage IA, alive, 370 days
2341.6
TCGA-21-1082-01A
61 years, male, white, stage:Stage IB, alive, 3644 days
2308.8
TCGA-34-2600-01A
76 years, female, white, stage:Stage IA, dead, 1874 days
2297.8
TCGA-NC-A5HK-01A
58 years, female, white, stage:Stage IIB, alive, 128 days
2271.5
TCGA-94-8491-01A
73 years, male, white, stage:Stage IIA, alive, 810 days
2232.4
TCGA-60-2715-01A
51 years, male, white, stage:Stage IA, dead, 1075 days
2230.1
TCGA-51-4080-01A
65 years, male, black or african american, stage:Stage IIIB, dead, 12 days
2206.7
TCGA-22-4596-01A
69 years, female, white, stage:Stage IB, dead, 17 days
2205.2
TCGA-60-2721-01A
73 years, male, white, stage:Stage IB, alive, 983 days
2197.1
TCGA-39-5022-01A
76 years, male, white, stage:Stage IB, dead, 1679 days
2177.7
TCGA-60-2712-01A
79 years, female, white, stage:Stage IIB, dead, 274 days
2171.5
TCGA-56-8624-01A
84 years, male, white, stage:Stage IIB, alive, 420 days
2158.8
TCGA-98-7454-01A
73 years, male, white, stage:Stage IB, alive, 652 days
2127.9
TCGA-37-4141-01A
65 years, female, white, stage:Stage IA, alive, 12 days
2122.3
TCGA-85-8355-01A
63 years, male, white, stage:Stage IA, alive, 61 days
2110.5
TCGA-34-2608-01A
84 years, male, white, stage:Stage IB, dead, 1000 days
1952.1
TCGA-85-A4PA-01A
61 years, male, white, stage:Stage IB, alive, 741 days
1940.6
TCGA-56-8622-01A
68 years, male, white, stage:Stage IB, alive, 55 days
1891.2
TCGA-90-7766-01A
66 years, female, white, stage:Stage IA, alive, 289 days
1825.6
TCGA-37-4129-01A
52 years, female, white, stage:Stage IA, alive, 242 days
1778.8
TCGA-43-6773-01A
76 years, male, white, stage:Stage IIB, dead, 116 days
1768.3
TCGA-56-7579-01A
61 years, male, white, stage:Stage IIIA, dead, 951 days
1755.7
TCGA-90-A4ED-01A
69 years, male, white, stage:Stage IB, alive, 615 days
1747.1
TCGA-77-8150-01A
64 years, male, stage:Stage IIIA, dead, 1655 days
1741.4
TCGA-63-A5MS-01A
78 years, male, stage:Stage IB, alive, 2381 days
1720.0
TCGA-77-A5FZ-01A
64 years, male, stage:Stage IIIB, dead, 3838 days
1713.6
TCGA-60-2697-01A
41 years, male, white, stage:Stage IIA, dead, 372 days
1713.5
TCGA-85-8584-01A
71 years, male, white, stage:Stage IIA, dead, 383 days
1686.9
TCGA-63-A5MP-01A
56 years, male, stage:Stage IIB, alive, 769 days
1679.9
TCGA-98-8022-01A
61 years, male, white, stage:Stage IA, dead, 933 days
1632.6
TCGA-43-5668-01A
78 years, male, white, stage:Stage IIA, dead, 559 days
1617.3
TCGA-98-A53D-01A
68 years, male, white, stage:Stage IIB, dead, 645 days
1562.3
TCGA-98-A53H-01A
76 years, female, white, stage:Stage IA, alive, 618 days
1536.8
TCGA-22-4594-01A
60 years, female, stage:Stage IIIA, dead, 1470 days
1498.6
TCGA-39-5030-01A
81 years, female, asian, stage:Stage IIIA, dead, 59 days
1485.0
TCGA-21-5784-01A
80 years, female, white, stage:Stage IB, alive, 1268 days
1481.9
TCGA-92-8065-01A
74 years, female, white, stage:Stage IIB, alive, 70 days
1468.9
TCGA-37-4130-01A
56 years, male, white, stage:Stage IA, alive, 247 days
1036.1
TCGA-22-1005-01A
63 years, male, white, stage:Stage IA, dead, 1953 days
930.5
TCGA-34-5234-01A
71 years, female, white, stage:Stage IA, alive, 2271 days
915.3
TCGA-43-A56U-01A
76 years, female, white, stage:Stage IA, alive, 432 days
897.9
TCGA-56-8623-01A
71 years, male, white, stage:Stage IB, dead, 692 days
847.8
TCGA-98-A53C-01A
77 years, female, white, stage:Stage IA, alive, 822 days
829.2
TCGA-85-A513-01A
60 years, female, asian, stage:Stage IA, alive, 910 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GAPDH is not prognostic in Lung Squamous Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 4.6
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.36
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
44%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
57%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
3541.5
Number of samples
68
Samples
Sample
Description
TPM
L559
72 years, male, stage:Stage IIB, alive, 2615 days
10274.7
L539
78 years, male, stage:Stage IB, dead, 370 days
8382.8
L818
67 years, male, stage:Stage IB, alive, 2480 days
8019.7
L857
69 years, male, stage:Stage IB, dead, 226 days
7436.8
L568
77 years, female, stage:Stage IIB, dead, 71 days
6990.5
L858
69 years, female, stage:Stage IIB, dead, 558 days
6334.6
L881
70 years, male, stage:Stage IB, alive, 1752 days
5871.9
L744
75 years, male, stage:Stage IA, alive, 1614 days
5790.5
L459
75 years, male, stage:Stage IIA, alive, 3181 days
5564.9
L642
67 years, male, stage:Stage IB, dead, 1167 days
5547.0
L466
65 years, female, stage:Stage IIIA, dead, 412 days
5502.8
L739
49 years, female, stage:Stage IIIA, dead, 352 days
5478.0
L747
74 years, female, stage:Stage IA, dead, 1112 days
5389.1
L592
61 years, male, stage:Stage IB, alive, 2368 days
5286.4
L633
77 years, female, stage:Stage IA, alive, 2102 days
4996.7
L563
61 years, female, stage:Stage IIB, dead, 1216 days
4940.2
L719
63 years, male, stage:Stage IB, alive, 1615 days
4733.9
L604
67 years, male, stage:Stage IIA, dead, 286 days
4538.6
L447
67 years, male, stage:Stage IIB, alive, 3203 days
4341.3
L586
67 years, male, stage:Stage IIA, dead, 784 days
4295.8
L529
79 years, female, stage:Stage IA, alive, 2775 days
4137.7
L712
61 years, male, stage:Stage IA, alive, 1698 days
4045.1
L420
57 years, female, stage:Stage IIB, dead, 295 days
3802.0
L685
71 years, female, stage:Stage IIB, alive, 1944 days
3786.1
L488
61 years, female, stage:Stage IIA, alive, 2993 days
3761.3
L496
77 years, male, stage:Stage IB, alive, 2761 days
3746.0
L483
65 years, male, stage:Stage IB, dead, 77 days
3739.0
L644
67 years, male, stage:Stage IA, dead, 282 days
3507.2
L852
64 years, male, stage:Stage IB, dead, 700 days
3438.1
L817
76 years, female, stage:Stage IIIA, dead, 1279 days
3176.7
L753
61 years, male, stage:Stage IIA, alive, 1705 days
3176.6
L464
66 years, male, stage:Stage IB, dead, 1935 days
3135.1
L655
62 years, male, stage:Stage IIA, dead, 1603 days
3121.3
L820
73 years, female, stage:Stage IA, alive, 2405 days
3107.7
L860
77 years, male, stage:Stage IA, alive, 2056 days
3091.9
L457
46 years, female, stage:Stage IIA, alive, 2901 days
3089.6
L755
82 years, male, stage:Stage IIA, dead, 227 days
3075.1
L824
70 years, male, stage:Stage IA, dead, 665 days
2988.8
L767
67 years, male, stage:Stage IA, alive, 1718 days
2836.6
L444
74 years, female, stage:Stage IIB, alive, 3337 days
2818.6
L756
72 years, male, stage:Stage IB, alive, 1796 days
2705.9
L456
48 years, male, stage:Stage IIA, dead, 1660 days
2616.9
L452
62 years, male, stage:Stage IIIA, dead, 3115 days
2525.0
L490
58 years, male, stage:Stage IA, dead, 716 days
2495.8
L856
69 years, male, stage:Stage IA, dead, 1465 days
2433.3
L661
66 years, male, stage:Stage IA, dead, 1123 days
2379.9
L534
66 years, male, stage:Stage IIA, alive, 2693 days
2222.8
L468
53 years, male, stage:Stage IB, alive, 3004 days
2210.5
L886
71 years, male, stage:Stage IB, dead, 1932 days
2178.6
L788
54 years, female, stage:Stage IA, alive, 3385 days
2172.0
L736
67 years, male, stage:Stage IA, dead, 1195 days
2170.2
L758
84 years, male, stage:Stage IA, dead, 1562 days
2123.4
L723
67 years, male, stage:Stage IIA, dead, 433 days
2088.7
L608
73 years, male, stage:Stage IA, alive, 2350 days
2058.0
L406
64 years, male, stage:Stage IA, alive, 3057 days
1983.5
L652
82 years, male, stage:Stage IA, dead, 5 days
1958.7
L854
62 years, female, stage:Stage IB, alive, 2256 days
1880.1
L864
66 years, female, stage:Stage IA, alive, 2192 days
1844.7
L658
65 years, female, stage:Stage IIB, alive, 2083 days
1831.2
L715
69 years, female, stage:Stage IIIA, dead, 150 days
1812.6
L470
78 years, female, stage:Stage IB, dead, 1774 days
1712.6
L472
71 years, male, stage:Stage IB, dead, 423 days
1495.8
L442
75 years, female, stage:Stage IB, dead, 2433 days
1308.0
L650
69 years, female, stage:Stage IB, dead, 986 days
1307.9
L572
58 years, male, stage:Stage IA, alive, 2532 days
1180.7
L751
59 years, female, stage:Stage IIIA, alive, 1600 days
1059.0
L884
71 years, male, stage:Stage IIA, alive, 1627 days
980.3
L760
80 years, male, stage:Stage IIA, alive, 1895 days
791.3
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LUNG ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
213
Samples
Sample ID
Sample type
nRPX
CPT0105270003
Tumor
0.8
CPT0118340003
Tumor
0.8
CPT0069360003
Tumor
0.7
CPT0097580003
Tumor
0.7
CPT0067450003
Tumor
0.7
CPT0106110003
Tumor
0.6
CPT0118620003
Tumor
0.6
CPT0070060003
Tumor
0.5
CPT0011710004
Tumor
0.4
CPT0090860003
Tumor
0.4
CPT0113210003
Tumor
0.4
CPT0001380003
Tumor
0.4
CPT0066780003
Tumor
0.4
CPT0147080004
Tumor
0.4
CPT0053040004
Tumor
0.4
CPT0105060003
Tumor
0.3
CPT0090900004
Normal
0.3
CPT0090700003
Tumor
0.3
CPT0066930003
Normal
0.3
CPT0067940003
Tumor
0.3
CPT0104630003
Tumor
0.3
CPT0083780003
Tumor
0.3
CPT0052940004
Tumor
0.3
CPT0068100003
Tumor
0.3
CPT0070080003
Normal
0.3
CPT0011750003
Normal
0.3
CPT0118810003
Tumor
0.2
CPT0013880003
Tumor
0.2
CPT0051690004
Tumor
0.2
CPT0067250003
Tumor
0.2
CPT0001960003
Tumor
0.2
CPT0105330003
Tumor
0.2
CPT0105600003
Tumor
0.2
CPT0147400003
Normal
0.2
CPT0090340003
Tumor
0.2
CPT0021450003
Tumor
0.2
CPT0098130003
Tumor
0.2
CPT0069520003
Tumor
0.2
CPT0067070003
Tumor
0.2
CPT0091860003
Tumor
0.2
CPT0000920017
Tumor
0.2
CPT0105230003
Tumor
0.2
CPT0125830003
Normal
0.1
CPT0105710003
Tumor
0.1
CPT0084140003
Tumor
0.1
CPT0079850003
Normal
0.1
CPT0082850004
Tumor
0.1
CPT0014860003
Tumor
0.1
CPT0148280004
Tumor
0.1
CPT0118570003
Tumor
0.1
CPT0118010003
Normal
0.1
CPT0023310003
Tumor
0.1
CPT0013910003
Normal
0.1
CPT0109740004
Tumor
0.1
CPT0067770003
Normal
0.1
CPT0001690003
Normal
0.1
CPT0110980004
Tumor
0.1
CPT0118880003
Tumor
0.1
CPT0083140003
Normal
0.1
CPT0068800003
Tumor
0.1
CPT0067620003
Tumor
0.0
CPT0105680003
Normal
0.0
CPT0112060003
Tumor
0.0
CPT0008450003
Tumor
0.0
CPT0092930003
Tumor
0.0
CPT0105610003
Normal
0.0
CPT0090200003
Normal
0.0
CPT0067290003
Normal
0.0
CPT0113990003
Tumor
0.0
CPT0001580009
Tumor
0.0
CPT0105370004
Normal
0.0
CPT0092530003
Tumor
0.0
CPT0082770003
Normal
0.0
CPT0090370003
Normal
0.0
CPT0067470004
Normal
0.0
CPT0091260003
Normal
0.0
CPT0090720003
Normal
0.0
CPT0114840003
Tumor
0.0
CPT0105980003
Normal
0.0
CPT0147000003
Normal
0.0
CPT0105630003
Tumor
0.0
CPT0148180004
Tumor
0.0
CPT0117970003
Tumor
0.0
CPT0147980004
Tumor
0.0
CPT0015410003
Tumor
0.0
CPT0147580004
Tumor
0.0
CPT0106100003
Normal
0.0
CPT0105010004
Normal
0.0
CPT0086320003
Normal
0.0
CPT0104970003
Tumor
-0.1
CPT0118360003
Normal
-0.1
CPT0147380004
Tumor
-0.1
CPT0066890003
Tumor
-0.1
CPT0090170004
Tumor
-0.1
CPT0118200003
Tumor
-0.1
CPT0089360003
Normal
-0.1
CPT0014260003
Tumor
-0.1
CPT0001970003
Normal
-0.1
CPT0091240003
Tumor
-0.1
CPT0109760003
Normal
-0.1
CPT0105550003
Normal
-0.1
CPT0008420003
Normal
-0.1
CPT0063810003
Tumor
-0.1
CPT0091870003
Normal
-0.1
CPT0118890003
Normal
-0.1
CPT0082740004
Tumor
-0.1
CPT0014290003
Normal
-0.1
CPT0105510003
Tumor
-0.1
CPT0112080003
Normal
-0.1
CPT0148100003
Normal
-0.1
CPT0102450003
Tumor
-0.1
CPT0069370003
Normal
-0.1
CPT0146780004
Tumor
-0.1
CPT0105940003
Tumor
-0.1
CPT0148300003
Normal
-0.1
CPT0082890003
Normal
-0.1
CPT0011930003
Normal
-0.1
CPT0105250003
Normal
-0.1
CPT0084170003
Normal
-0.1
CPT0068610003
Tumor
-0.1
CPT0146980004
Tumor
-0.1
CPT0110890003
Normal
-0.1
CPT0079830003
Tumor
-0.1
CPT0104760003
Normal
-0.1
CPT0001590003
Normal
-0.1
CPT0001660013
Tumor
-0.1
CPT0146880004
Tumor
-0.1
CPT0113220003
Normal
-0.1
CPT0102480003
Normal
-0.1
CPT0097600003
Normal
-0.1
CPT0092250003
Normal
-0.1
CPT0105740003
Normal
-0.2
CPT0118180003
Normal
-0.2
CPT0148000003
Normal
-0.2
CPT0118240003
Normal
-0.2
CPT0068830003
Normal
-0.2
CPT0114880003
Normal
-0.2
CPT0000930003
Normal
-0.2
CPT0147900003
Normal
-0.2
CPT0067110003
Normal
-0.2
CPT0092940003
Normal
-0.2
CPT0068130003
Normal
-0.2
CPT0147480004
Tumor
-0.2
CPT0105190003
Normal
-0.2
CPT0066810003
Normal
-0.2
CPT0118650003
Normal
-0.2
CPT0148200003
Normal
-0.2
CPT0063750003
Normal
-0.2
CPT0063730003
Tumor
-0.2
CPT0052170004
Tumor
-0.2
CPT0118830003
Normal
-0.2
CPT0086750003
Tumor
-0.2
CPT0063840003
Normal
-0.2
CPT0067950003
Normal
-0.2
CPT0001060010
Tumor
-0.2
CPT0015420003
Normal
-0.2
CPT0069550003
Normal
-0.2
CPT0114660004
Tumor
-0.2
CPT0111590003
Normal
-0.2
CPT0147600003
Normal
-0.2
CPT0001070003
Normal
-0.2
CPT0086310003
Tumor
-0.2
CPT0118160003
Tumor
-0.2
CPT0069720003
Normal
-0.2
CPT0023320003
Normal
-0.2
CPT0147500003
Normal
-0.2
CPT0147100003
Normal
-0.2
CPT0083420003
Normal
-0.2
CPT0083810003
Normal
-0.2
CPT0086770003
Normal
-0.2
CPT0146800003
Normal
-0.2
CPT0069700003
Tumor
-0.2
CPT0001800013
Tumor
-0.2
CPT0090570004
Tumor
-0.2
CPT0115070003
Tumor
-0.2
CPT0090600003
Normal
-0.2
CPT0092240003
Tumor
-0.2
CPT0104750003
Tumor
-0.2
CPT0104650003
Normal
-0.2
CPT0013630003
Normal
-0.2
CPT0068650003
Normal
-0.2
CPT0001390003
Normal
-0.3
CPT0111480003
Normal
-0.3
CPT0089340003
Tumor
-0.3
CPT0109710003
Normal
-0.3
CPT0109850003
Normal
-0.3
CPT0125810003
Tumor
-0.3
CPT0146600003
Normal
-0.3
CPT0115090003
Normal
-0.3
CPT0118600003
Normal
-0.3
CPT0146700003
Normal
-0.3
CPT0111300003
Tumor
-0.3
CPT0114010003
Normal
-0.3
CPT0014930003
Normal
-0.3
CPT0109830004
Tumor
-0.3
CPT0109680004
Tumor
-0.3
CPT0021490003
Normal
-0.3
CPT0114690003
Normal
-0.3
CPT0109720004
Tumor
-0.4
CPT0055100004
Tumor
-0.4
CPT0062810003
Normal
-0.4
CPT0109700003
Normal
-0.4
CPT0110860004
Tumor
-0.4
CPT0013600003
Tumor
-0.4
CPT0011910004
Tumor
-0.4
CPT0147880004
Tumor
-0.4
CPT0083100003
Tumor
-0.4
CPT0008410003
Tumor
-0.5
CPT0001810003
Normal
-0.5
CPT0146680004
Tumor
-0.5
CPT0083390004
Tumor
-0.6
CPT0146580004
Tumor
N/A
CPT0148080004
Tumor
N/A
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LUNG SQUAMOUS CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
212
Samples
Sample ID
Sample type
nRPX
CPT0204990003
Tumor
1.0
CPT0191860003
Tumor
1.0
CPT0208770003
Tumor
0.9
CPT0196810003
Tumor
0.8
CPT0112720003
Tumor
0.8
CPT0104930003
Tumor
0.7
CPT0237410004
Tumor
0.7
CPT0136640003
Tumor
0.6
CPT0186130003
Tumor
0.6
CPT0209020004
Tumor
0.6
CPT0183250004
Tumor
0.6
CPT0187370003
Tumor
0.5
CPT0202020008
Tumor
0.5
CPT0209490003
Tumor
0.5
CPT0202530004
Tumor
0.5
CPT0175390003
Tumor
0.5
CPT0245830003
Tumor
0.5
CPT0115830003
Tumor
0.4
CPT0146380004
Tumor
0.4
CPT0197090003
Tumor
0.4
CPT0023470003
Tumor
0.4
CPT0197210003
Tumor
0.4
CPT0147680004
Tumor
0.4
CPT0117720003
Tumor
0.4
CPT0001020003
Tumor
0.4
CPT0126830003
Normal
0.4
CPT0237550004
Tumor
0.4
CPT0104360003
Tumor
0.4
CPT0197150003
Tumor
0.3
CPT0126450003
Tumor
0.3
CPT0126670003
Tumor
0.3
CPT0191710003
Tumor
0.3
CPT0091820003
Tumor
0.3
CPT0195510003
Tumor
0.3
CPT0175410003
Normal
0.3
CPT0146480004
Tumor
0.3
CPT0130410003
Tumor
0.3
CPT0238110004
Tumor
0.3
CPT0112650003
Tumor
0.3
CPT0136660003
Normal
0.3
CPT0068280003
Tumor
0.3
CPT0079100003
Tumor
0.3
CPT0079050003
Tumor
0.2
CPT0147180004
Tumor
0.2
CPT0221650003
Tumor
0.2
CPT0219360003
Tumor
0.2
CPT0126530003
Tumor
0.2
CPT0223820003
Normal
0.2
CPT0063430003
Tumor
0.2
CPT0007740003
Tumor
0.2
CPT0087190003
Tumor
0.2
CPT0197740003
Tumor
0.2
CPT0089880003
Tumor
0.2
CPT0237060004
Tumor
0.2
CPT0123350003
Tumor
0.2
CPT0086260003
Tumor
0.1
CPT0126390003
Tumor
0.1
CPT0130030003
Tumor
0.1
CPT0234560003
Tumor
0.1
CPT0233600003
Tumor
0.1
CPT0123370003
Normal
0.1
CPT0105420003
Tumor
0.1
CPT0090440003
Tumor
0.1
CPT0130270003
Tumor
0.1
CPT0115860003
Normal
0.1
CPT0091050003
Tumor
0.1
CPT0245780003
Tumor
0.1
CPT0205000003
Normal
0.1
CPT0112730003
Normal
0.1
CPT0010050003
Tumor
0.1
CPT0126810003
Tumor
0.1
CPT0204820003
Normal
0.1
CPT0237760003
Tumor
0.1
CPT0083980003
Tumor
0.1
CPT0204600003
Tumor
0.0
CPT0186180003
Tumor
0.0
CPT0204800003
Tumor
0.0
CPT0197100003
Normal
0.0
CPT0069900003
Normal
0.0
CPT0098800003
Normal
0.0
CPT0207210003
Tumor
0.0
CPT0202580004
Normal
0.0
CPT0236420003
Tumor
0.0
CPT0217420003
Tumor
0.0
CPT0101130003
Tumor
0.0
CPT0237780003
Normal
0.0
CPT0130310003
Normal
0.0
CPT0126740003
Tumor
0.0
CPT0237970004
Tumor
0.0
CPT0237690004
Tumor
0.0
CPT0112600003
Normal
0.0
CPT0233320003
Tumor
0.0
CPT0202170003
Tumor
0.0
CPT0111150004
Tumor
0.0
CPT0064050003
Normal
-0.1
CPT0175560003
Tumor
-0.1
CPT0202350004
Tumor
-0.1
CPT0223790003
Tumor
-0.1
CPT0234930004
Tumor
-0.1
CPT0218280003
Tumor
-0.1
CPT0175260003
Tumor
-0.1
CPT0192590004
Normal
-0.1
CPT0175270003
Normal
-0.1
CPT0102790003
Tumor
-0.1
CPT0245880003
Tumor
-0.1
CPT0232670003
Tumor
-0.1
CPT0234580003
Normal
-0.1
CPT0202720003
Tumor
-0.1
CPT0112540003
Tumor
-0.1
CPT0146400003
Normal
-0.1
CPT0191930003
Normal
-0.1
CPT0098770003
Tumor
-0.1
CPT0105430003
Normal
-0.1
CPT0202400004
Normal
-0.1
CPT0245790003
Normal
-0.1
CPT0221200003
Tumor
-0.1
CPT0225470003
Normal
-0.1
CPT0221660003
Normal
-0.1
CPT0202040003
Normal
-0.1
CPT0091610003
Tumor
-0.1
CPT0233120003
Tumor
-0.2
CPT0069890003
Tumor
-0.2
CPT0241170003
Tumor
-0.2
CPT0233330003
Normal
-0.2
CPT0227420003
Normal
-0.2
CPT0245890003
Normal
-0.2
CPT0227400003
Tumor
-0.2
CPT0126470003
Normal
-0.2
CPT0007760003
Normal
-0.2
CPT0111000004
Normal
-0.2
CPT0202740003
Normal
-0.2
CPT0197380003
Normal
-0.2
CPT0222740003
Normal
-0.2
CPT0175120003
Tumor
-0.2
CPT0237570003
Normal
-0.2
CPT0218310003
Normal
-0.2
CPT0130440004
Normal
-0.2
CPT0147700003
Normal
-0.2
CPT0217490003
Normal
-0.2
CPT0186210003
Normal
-0.2
CPT0221220003
Normal
-0.2
CPT0064040003
Tumor
-0.2
CPT0087210003
Normal
-0.2
CPT0236430003
Normal
-0.2
CPT0063440003
Normal
-0.2
CPT0079110003
Normal
-0.2
CPT0112580003
Tumor
-0.2
CPT0091620003
Normal
-0.2
CPT0237200004
Tumor
-0.2
CPT0202220004
Normal
-0.2
CPT0108560003
Tumor
-0.2
CPT0117770003
Normal
-0.2
CPT0010060003
Normal
-0.2
CPT0195520003
Normal
-0.2
CPT0196820003
Normal
-0.2
CPT0086270003
Normal
-0.2
CPT0104950003
Normal
-0.2
CPT0130070003
Normal
-0.2
CPT0204660003
Normal
-0.3
CPT0234790003
Tumor
-0.3
CPT0108600003
Normal
-0.3
CPT0233160003
Normal
-0.3
CPT0197860003
Normal
-0.3
CPT0146500003
Normal
-0.3
CPT0083990003
Normal
-0.3
CPT0197520003
Normal
-0.3
CPT0245840003
Normal
-0.3
CPT0237710003
Normal
-0.3
CPT0237080003
Normal
-0.3
CPT0104380003
Normal
-0.3
CPT0241210003
Normal
-0.3
CPT0126760003
Normal
-0.3
CPT0207250003
Normal
-0.3
CPT0197480003
Tumor
-0.3
CPT0208780003
Normal
-0.3
CPT0234950004
Normal
-0.3
CPT0238130003
Normal
-0.3
CPT0233640003
Normal
-0.3
CPT0079060003
Normal
-0.3
CPT0063500003
Normal
-0.3
CPT0234820003
Normal
-0.3
CPT0091090003
Normal
-0.3
CPT0190550003
Tumor
-0.3
CPT0126400003
Normal
-0.3
CPT0023500003
Normal
-0.3
CPT0209040003
Normal
-0.3
CPT0237430003
Normal
-0.3
CPT0219390003
Normal
-0.3
CPT0232690003
Normal
-0.3
CPT0001030003
Normal
-0.3
CPT0186140003
Normal
-0.3
CPT0112660003
Normal
-0.3
CPT0068320003
Normal
-0.4
CPT0112550003
Normal
-0.4
CPT0192540004
Tumor
-0.4
CPT0209510003
Normal
-0.4
CPT0183270003
Normal
-0.4
CPT0175160003
Normal
-0.4
CPT0128890003
Tumor
-0.4
CPT0227020003
Tumor
-0.4
CPT0191750003
Normal
-0.4
CPT0225380003
Tumor
-0.4
CPT0187380003
Normal
-0.4
CPT0102840003
Normal
-0.4
CPT0147200003
Normal
-0.4
CPT0197170003
Normal
-0.5
CPT0128900003
Normal
-0.5
CPT0227070003
Normal
-0.5
CPT0237210003
Normal
-0.5
CPT0063480003
Tumor
-0.5
CPT0237990003
Normal
-0.5
CPT0222730003
Tumor
-0.6
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LUNG CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.