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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.
RPL35 is not prognostic 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.
0.0066
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.
37%
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
1763.6
Number of samples
497
Samples
Sample
Description
TPM
TCGA-49-4506-01A
68 years, female, white, stage:Stage IIB, dead, 999 days
7836.2
TCGA-64-1677-01A
77 years, female, white, stage:Stage IIIA, dead, 628 days
7154.8
TCGA-35-4123-01A
38 years, male, white, stage:Stage IA, alive, 182 days
5917.4
TCGA-64-1678-01A
70 years, female, white, stage:'--, alive, 1189 days
5642.9
TCGA-95-8494-01A
67 years, male, white, stage:Stage IIA, alive, 84 days
5119.7
TCGA-50-6597-01A
79 years, female, white, stage:Stage IB, dead, 1268 days
5019.3
TCGA-05-5428-01A
57 years, male, stage:Stage IIA, alive, 670 days
4905.1
TCGA-35-3615-01A
57 years, male, white, stage:Stage IB, alive, 14 days
4771.8
TCGA-49-6767-01A
46 years, female, white, stage:Stage IIB, alive, 677 days
4605.2
TCGA-38-4632-01A
42 years, male, black or african american, stage:Stage IV, dead, 1357 days
4583.7
TCGA-49-4507-01A
73 years, female, white, stage:Stage IIIA, dead, 268 days
4568.6
TCGA-91-8499-01A
76 years, female, white, stage:Stage IA, alive, 36 days
4566.9
TCGA-49-4486-01A
72 years, male, white, stage:Stage IA, dead, 2318 days
4473.2
TCGA-50-5068-01A
59 years, female, white, stage:Stage IIB, dead, 1499 days
4428.8
TCGA-50-5066-01A
72 years, male, black or african american, stage:Stage IB, alive, 1442 days
4335.1
TCGA-55-6972-01A
72 years, male, white, stage:Stage IB, dead, 1632 days
4271.5
TCGA-64-1676-01A
58 years, male, white, stage:Stage IA, alive, 1728 days
4244.4
TCGA-44-5643-01A
53 years, male, black or african american, stage:Stage IIIA, alive, 1013 days
4159.7
TCGA-64-1680-01A
63 years, male, white, stage:Stage IV, alive, 1126 days
4039.0
TCGA-35-5375-01A
61 years, male, white, stage:Stage IIIA, alive, 264 days
3990.0
TCGA-64-5778-01A
60 years, male, white, stage:Stage IB, alive, 1305 days
3756.4
TCGA-05-4427-01A
65 years, female, stage:Stage IIB, alive, 791 days
3708.4
TCGA-49-4488-01A
74 years, female, white, stage:Stage IA, dead, 869 days
3702.9
TCGA-50-5045-01A
57 years, female, black or african american, stage:'--, dead, 2174 days
3645.9
TCGA-73-4666-01A
52 years, female, white, stage:Stage IV, alive, 800 days
3481.8
TCGA-78-8662-01A
53 years, female, stage:Stage IB, dead, 3361 days
3397.3
TCGA-67-3773-01A
84 years, female, white, stage:Stage IB, alive, 427 days
3360.7
TCGA-05-4426-01A
71 years, male, stage:Stage IB, alive, 791 days
3341.5
TCGA-64-5781-01A
55 years, female, white, stage:Stage IB, alive, 1559 days
3317.5
TCGA-05-5429-01A
60 years, male, stage:Stage IIIA, dead, 275 days
3274.5
TCGA-MP-A4TC-01A
77 years, male, white, stage:Stage IIIA, dead, 74 days
3260.5
TCGA-78-7152-01A
65 years, male, white, stage:Stage IB, dead, 1215 days
3259.2
TCGA-73-4676-01A
45 years, male, white, stage:Stage IIA, dead, 281 days
3216.8
TCGA-4B-A93V-01A
52 years, female, black or african american, stage:Stage IA, dead, 300 days
3154.2
TCGA-49-4494-01A
77 years, male, white, stage:Stage IIIA, dead, 1081 days
3128.4
TCGA-05-5423-01A
65 years, male, stage:Stage IIB, alive, 151 days
3106.0
TCGA-NJ-A4YP-01A
52 years, male, white, stage:Stage IB, alive, 50 days
3084.2
TCGA-44-3398-01A
77 years, female, white, stage:Stage IA, alive, 1163 days
3059.2
TCGA-55-7903-01A
64 years, male, white, stage:Stage IA, alive, 567 days
3006.7
TCGA-44-2666-01A
43 years, male, white, stage:Stage IB, dead, 97 days
3001.5
TCGA-50-5055-01A
79 years, female, white, stage:Stage IIA, dead, 1830 days
2994.3
TCGA-78-7536-01A
69 years, male, white, stage:Stage IIIA, dead, 244 days
2978.0
TCGA-38-4629-01A
68 years, male, white, stage:Stage IIB, dead, 864 days
2975.0
TCGA-49-4510-01A
51 years, female, black or african american, stage:Stage IIB, dead, 896 days
2939.3
TCGA-62-A472-01A
70 years, male, white, stage:Stage IIB, alive, 910 days
2932.0
TCGA-73-7499-01A
81 years, female, white, stage:Stage IB, dead, 1531 days
2911.8
TCGA-95-A4VN-01A
62 years, female, white, stage:Stage IIA, alive, 553 days
2884.9
TCGA-91-6836-01A
52 years, female, white, stage:Stage IB, alive, 417 days
2882.8
TCGA-64-5775-01A
71 years, male, white, stage:Stage IIIA, dead, 62 days
2871.3
TCGA-50-6595-01A
74 years, female, white, stage:Stage IIIA, dead, 189 days
2865.1
TCGA-91-8496-01A
63 years, female, white, stage:Stage IB, alive, 505 days
2860.8
TCGA-MN-A4N5-01A
63 years, male, white, stage:Stage IA, alive, 84 days
2851.0
TCGA-78-7535-01A
45 years, male, white, stage:Stage IB, dead, 949 days
2843.0
TCGA-95-7567-01A
61 years, male, white, stage:Stage IIB, alive, 568 days
2778.6
TCGA-78-7166-01A
84 years, male, white, stage:Stage IIB, dead, 258 days
2777.0
TCGA-50-5044-01A
72 years, female, white, stage:Stage IIIB, dead, 624 days
2773.1
TCGA-35-4122-01A
69 years, male, white, stage:Stage IA, alive, 225 days
2748.8
TCGA-78-8655-01A
77 years, female, stage:Stage IA, alive, 2360 days
2746.5
TCGA-49-6761-01A
68 years, female, white, stage:Stage IIIA, alive, 354 days
2739.7
TCGA-95-7948-01A
42 years, female, white, stage:Stage IB, alive, 476 days
2729.1
TCGA-97-A4M0-01A
60 years, female, white, stage:Stage IB, alive, 652 days
2708.6
TCGA-78-7158-01A
59 years, female, white, stage:Stage IIIB, dead, 179 days
2706.8
TCGA-05-4425-01A
70 years, female, stage:Stage IV, alive, 669 days
2705.5
TCGA-97-A4M1-01A
52 years, female, white, stage:Stage IA, alive, 601 days
2704.6
TCGA-05-4398-01A
47 years, female, stage:Stage IIIB, alive, 1431 days
2662.9
TCGA-97-8171-01A
81 years, male, asian, stage:Stage IV, alive, 568 days
2662.3
TCGA-49-AARQ-01A
41 years, female, black or african american, stage:Stage I, alive, 6732 days
2639.8
TCGA-55-7281-01A
70 years, female, white, stage:Stage IA, alive, 872 days
2631.2
TCGA-97-8176-01A
63 years, male, white, stage:Stage IIIA, dead, 468 days
2619.6
TCGA-78-7153-01A
65 years, female, white, stage:Stage IB, alive, 3635 days
2618.8
TCGA-05-4420-01A
41 years, male, stage:Stage IB, alive, 912 days
2610.4
TCGA-91-A4BD-01A
78 years, male, white, stage:Stage IIA, alive, 603 days
2566.6
TCGA-44-A47A-01A
78 years, female, white, stage:Stage IB, alive, 466 days
2566.3
TCGA-55-6986-01A
74 years, female, white, stage:Stage IB, alive, 3261 days
2559.1
TCGA-67-3770-01A
70 years, female, white, stage:Stage IA, alive, 610 days
2553.1
TCGA-44-7671-01A
64 years, male, black or african american, stage:Stage IB, alive, 889 days
2528.9
TCGA-50-5946-01A
62 years, male, white, stage:Stage IA, alive, 1617 days
2523.9
TCGA-95-7944-01A
71 years, male, white, stage:Stage IA, alive, 377 days
2510.3
TCGA-86-8054-01A
61 years, male, white, stage:Stage IIB, alive, 1148 days
2508.7
TCGA-99-8032-01A
61 years, male, white, stage:Stage IA, alive, 44 days
2507.0
TCGA-73-4670-01A
69 years, female, white, stage:Stage IV, alive, 131 days
2506.7
TCGA-05-4430-01A
59 years, female, stage:Stage IB, alive, 761 days
2494.0
TCGA-55-8616-01A
58 years, female, white, stage:Stage IB, alive, 48 days
2490.7
TCGA-49-6745-01A
82 years, male, white, stage:Stage IIIA, alive, 522 days
2487.6
TCGA-38-4628-01A
65 years, female, white, stage:Stage IIB, dead, 1492 days
2471.2
TCGA-L4-A4E5-01A
48 years, female, white, stage:Stage I, alive, 578 days
2456.7
TCGA-86-8359-01A
52 years, male, white, stage:Stage IIIA, dead, 444 days
2421.1
TCGA-62-8399-01A
62 years, male, white, stage:Stage IIIA, alive, 2696 days
2416.8
TCGA-49-4501-01A
67 years, female, white, stage:Stage IB, dead, 1421 days
2402.8
TCGA-44-2655-01A
65 years, female, white, stage:Stage IA, alive, 1324 days
2394.1
TCGA-L9-A7SV-01A
69 years, male, black or african american, stage:Stage IIA, alive, 565 days
2384.9
TCGA-67-3772-01A
82 years, female, white, stage:Stage IB, alive, 573 days
2359.9
TCGA-55-7576-01A
54 years, male, black or african american, stage:Stage IB, alive, 670 days
2355.1
TCGA-38-4631-01A
72 years, female, white, stage:Stage IB, dead, 354 days
2347.7
TCGA-05-4403-01A
76 years, male, stage:Stage IB, alive, 578 days
2321.6
TCGA-86-8673-01A
61 years, male, white, stage:Stage IB, alive, 862 days
2314.5
TCGA-75-5147-01A
female, stage:Stage IB, alive, 1333 days
2313.8
TCGA-38-6178-01A
70 years, female, white, stage:Stage IIIA, alive, 448 days
2312.5
TCGA-86-8076-01A
42 years, male, white, stage:Stage IA, alive, 993 days
2301.1
TCGA-NJ-A4YG-01A
65 years, male, white, stage:Stage IB, alive, 2261 days
2298.3
TCGA-64-5815-01A
74 years, male, white, stage:Stage IIB, alive, 866 days
2284.5
TCGA-05-5420-01A
67 years, male, stage:Stage IIIA, alive, 457 days
2254.5
TCGA-69-8253-01A
59 years, female, black or african american, stage:Stage IIA, alive, 426 days
2248.4
TCGA-78-7542-01A
56 years, male, white, stage:Stage IB, dead, 321 days
2239.6
TCGA-67-6216-01A
57 years, female, white, stage:Stage IA, alive, 141 days
2231.1
TCGA-44-7662-01A
61 years, male, white, stage:Stage IB, alive, 218 days
2201.7
TCGA-62-A471-01A
64 years, male, white, stage:Stage IIB, alive, 1246 days
2200.9
TCGA-99-8025-01A
72 years, female, black or african american, stage:Stage IIIA, alive, 1060 days
2188.6
TCGA-MP-A4T8-01A
68 years, male, stage:Stage IIIA, dead, 161 days
2188.2
TCGA-L9-A5IP-01A
40 years, female, black or african american, stage:Stage IV, dead, 58 days
2174.9
TCGA-49-AAR2-01A
64 years, male, black or african american, stage:Stage IB, alive, 2224 days
2171.3
TCGA-83-5908-01A
59 years, female, white, stage:Stage IA, alive, 824 days
2167.5
TCGA-95-7947-01A
67 years, male, white, stage:Stage IA, alive, 477 days
2157.3
TCGA-73-4658-01A
80 years, female, white, stage:Stage IB, dead, 1600 days
2156.6
TCGA-55-7283-01A
76 years, female, white, stage:Stage IIIA, alive, 609 days
2154.6
TCGA-55-8302-01A
54 years, male, white, stage:Stage IB, alive, 478 days
2149.6
TCGA-78-7537-01A
72 years, male, stage:Stage IB, dead, 1622 days
2147.8
TCGA-93-A4JQ-01A
49 years, male, white, stage:Stage IA, alive, 526 days
2147.1
TCGA-69-8255-01A
71 years, male, white, stage:Stage IA, alive, 129 days
2142.1
TCGA-95-7039-01A
54 years, female, white, stage:Stage IIB, alive, 1272 days
2141.7
TCGA-78-7154-01A
72 years, male, white, stage:Stage IIIA, dead, 593 days
2141.4
TCGA-NJ-A55O-01A
56 years, female, white, stage:Stage IIA, alive, 13 days
2136.7
TCGA-44-2665-01A
55 years, female, white, stage:Stage IIB, alive, 1301 days
2132.5
TCGA-55-8615-01A
67 years, male, white, stage:Stage IIIA, alive, 446 days
2123.8
TCGA-MP-A4TI-01A
72 years, male, white, stage:Stage IIA, dead, 429 days
2123.2
TCGA-53-A4EZ-01A
63 years, male, white, stage:Stage IIA, alive, 1071 days
2119.9
TCGA-55-7911-01A
70 years, female, white, stage:Stage IA, alive, 537 days
2109.8
TCGA-MP-A4SV-01A
67 years, male, stage:Stage IB, dead, 2620 days
2105.7
TCGA-L9-A443-01A
63 years, female, white, stage:Stage IA, dead, 193 days
2084.6
TCGA-78-7161-01A
69 years, female, white, stage:Stage IIB, dead, 291 days
2082.3
TCGA-50-6590-01A
72 years, female, white, stage:Stage IB, dead, 1288 days
2077.0
TCGA-44-3917-01A
33 years, female, white, stage:Stage IB, alive, 1183 days
2076.6
TCGA-49-4487-01A
72 years, female, white, stage:Stage IA, dead, 855 days
2073.3
TCGA-44-4112-01A
60 years, female, white, stage:Stage IB, dead, 808 days
2070.5
TCGA-55-8205-01A
76 years, female, white, stage:Stage IIA, alive, 599 days
2067.2
TCGA-55-7227-01A
77 years, male, white, stage:Stage IIIA, dead, 952 days
2062.4
TCGA-05-4397-01A
65 years, male, stage:Stage IIB, dead, 731 days
2061.8
TCGA-95-A4VP-01A
66 years, female, white, stage:Stage IIIA, alive, 605 days
2054.2
TCGA-86-8672-01A
59 years, male, white, stage:Stage IIB, dead, 19 days
2042.3
TCGA-50-5051-01A
42 years, female, white, stage:Stage IIIA, dead, 478 days
2036.1
TCGA-44-7667-01A
49 years, female, white, stage:Stage IIB, alive, 1097 days
2034.4
TCGA-86-A4JF-01A
56 years, male, white, stage:Stage IIB, dead, 737 days
2029.9
TCGA-44-7661-01A
69 years, female, white, stage:Stage IB, dead, 557 days
2027.6
TCGA-49-4505-01A
61 years, female, white, stage:Stage IIB, dead, 428 days
2023.6
TCGA-55-6987-01A
77 years, male, white, stage:Stage IA, alive, 2137 days
2012.1
TCGA-55-A48Z-01A
60 years, female, white, stage:Stage IIIB, alive, 651 days
1999.6
TCGA-69-8453-01A
77 years, male, white, stage:Stage IIB, alive, 813 days
1983.3
TCGA-05-4389-01A
70 years, male, stage:Stage IA, alive, 1369 days
1978.4
TCGA-93-8067-01A
77 years, male, asian, stage:Stage IB, alive, 186 days
1975.8
TCGA-05-5425-01A
68 years, male, stage:Stage IIB, alive, 882 days
1970.2
TCGA-86-7714-01A
61 years, female, black or african american, stage:Stage IIIA, dead, 625 days
1948.0
TCGA-78-7149-01A
71 years, male, white, stage:Stage IIIB, alive, 3940 days
1946.7
TCGA-78-7156-01A
62 years, male, white, stage:Stage IV, dead, 976 days
1941.6
TCGA-93-7347-01A
76 years, female, white, stage:Stage IA, alive, 683 days
1934.0
TCGA-75-5125-01A
male, stage:Stage IIB, dead, 2027 days
1925.3
TCGA-49-AAR9-01A
61 years, male, black or african american, stage:Stage IIB, dead, 260 days
1922.6
TCGA-MP-A4TK-01A
56 years, female, stage:Stage IIB, dead, 582 days
1915.7
TCGA-49-AAR0-01A
57 years, male, black or african american, stage:Stage IA, alive, 4765 days
1912.0
TCGA-05-4434-01A
67 years, female, stage:Stage IV, dead, 457 days
1905.4
TCGA-50-5049-01A
70 years, male, white, stage:Stage IA, alive, 3094 days
1896.0
TCGA-55-6983-01A
81 years, male, white, stage:Stage IIB, alive, 2823 days
1893.7
TCGA-97-8177-01A
59 years, female, white, stage:Stage IB, alive, 499 days
1892.9
TCGA-62-A46Y-01A
70 years, female, white, stage:Stage IIIA, dead, 414 days
1892.3
TCGA-97-8175-01A
55 years, female, white, stage:Stage IB, alive, 551 days
1889.3
TCGA-93-A4JO-01A
70 years, male, white, stage:Stage IA, dead, 33 days
1887.8
TCGA-L9-A50W-01A
75 years, male, black or african american, stage:Stage IIA, dead, 442 days
1885.6
TCGA-99-8028-01A
50 years, female, black or african american, stage:Stage IA, alive, 1118 days
1883.1
TCGA-50-5931-01A
75 years, female, white, stage:Stage IB, dead, 434 days
1876.6
TCGA-50-5939-01A
85 years, male, white, stage:Stage IB, dead, 460 days
1876.4
TCGA-NJ-A4YI-01A
87 years, female, white, stage:Stage IIIA, dead, 4 days
1873.9
TCGA-05-4415-01A
57 years, male, stage:Stage IIIB, dead, 91 days
1869.8
TCGA-05-4250-01A
79 years, female, stage:Stage IIIA, dead, 121 days
1865.1
TCGA-NJ-A7XG-01A
49 years, male, black or african american, stage:Stage IIIA, alive, 617 days
1844.3
TCGA-73-4677-01A
74 years, male, white, stage:'--, dead, 38 days
1842.7
TCGA-78-7146-01A
71 years, female, white, stage:Stage IIIA, dead, 173 days
1839.3
TCGA-62-8394-01A
65 years, female, white, stage:Stage IIIB, dead, 139 days
1838.3
TCGA-50-6591-01A
63 years, female, white, stage:Stage IV, dead, 119 days
1827.1
TCGA-44-2668-01A
51 years, male, white, stage:Stage IB, dead, 761 days
1826.2
TCGA-78-7539-01A
75 years, female, white, stage:Stage IIA, alive, 791 days
1815.2
TCGA-50-5942-01A
67 years, female, white, stage:Stage IA, alive, 1847 days
1809.4
TCGA-62-A46P-01A
65 years, male, white, stage:Stage IB, dead, 594 days
1803.6
TCGA-49-4490-01A
45 years, female, white, stage:Stage IIIA, dead, 385 days
1803.0
TCGA-97-7941-01A
72 years, female, white, stage:Stage IA, alive, 484 days
1793.8
TCGA-78-7162-01A
75 years, male, white, stage:Stage IA, dead, 3169 days
1780.2
TCGA-67-6215-01A
52 years, female, white, stage:Stage IB, alive, 174 days
1779.0
TCGA-49-AARE-01A
51 years, female, black or african american, stage:Stage IA, dead, 1229 days
1771.1
TCGA-50-5933-01A
72 years, male, white, stage:Stage IIIB, dead, 2393 days
1765.7
TCGA-44-2656-01A
59 years, male, white, stage:Stage IB, alive, 1429 days
1764.6
TCGA-95-7562-01A
71 years, male, black or african american, stage:Stage IIA, dead, 87 days
1763.2
TCGA-55-8085-01A
64 years, male, white, stage:Stage IA, alive, 904 days
1760.1
TCGA-91-6840-01A
59 years, female, white, stage:Stage IA, alive, 372 days
1759.6
TCGA-53-7626-01A
76 years, female, white, stage:Stage IIA, dead, 929 days
1755.4
TCGA-49-AARN-01A
56 years, female, black or african american, stage:Stage IA, dead, 1135 days
1752.0
TCGA-99-7458-01A
74 years, female, white, stage:Stage IIIA, alive, 747 days
1740.0
TCGA-95-7043-01A
63 years, female, white, stage:Stage IA, dead, 503 days
1739.5
TCGA-55-8091-01A
74 years, male, white, stage:Stage IB, alive, 600 days
1739.0
TCGA-97-A4M5-01A
83 years, male, white, stage:Stage IA, alive, 634 days
1737.0
TCGA-NJ-A4YF-01A
50 years, female, black or african american, stage:Stage IA, alive, 2161 days
1735.9
TCGA-75-6214-01A
female, stage:Stage IIIA, dead, 1115 days
1732.2
TCGA-86-8674-01A
50 years, male, white, stage:Stage IIA, alive, 806 days
1725.2
TCGA-95-A4VK-01A
74 years, female, white, stage:Stage IIIA, alive, 651 days
1724.2
TCGA-69-7979-01A
71 years, female, white, stage:Stage IB, alive, 408 days
1724.0
TCGA-55-8094-01A
51 years, male, white, stage:Stage IV, alive, 541 days
1723.8
TCGA-75-5146-01A
male, stage:Stage IB, alive, 2368 days
1716.0
TCGA-75-6212-01A
female, stage:Stage IIB, dead, 1516 days
1714.6
TCGA-55-8299-01A
61 years, female, white, stage:Stage IA, dead, 469 days
1710.4
TCGA-38-4630-01A
75 years, female, white, stage:Stage IB, dead, 1073 days
1699.6
TCGA-05-4418-01A
69 years, male, stage:Stage IIIA, dead, 274 days
1697.5
TCGA-49-4512-01A
69 years, female, white, stage:Stage IIIA, dead, 905 days
1694.3
TCGA-95-8039-01A
72 years, male, white, stage:Stage IA, alive, 830 days
1688.9
TCGA-78-8640-01A
59 years, male, stage:Stage IIA, alive, 7062 days
1683.7
TCGA-62-8402-01A
73 years, female, white, stage:Stage IIIA, dead, 1498 days
1682.4
TCGA-55-8511-01A
73 years, female, white, stage:Stage IB, alive, 552 days
1679.7
TCGA-44-5644-01A
51 years, female, white, stage:Stage IB, alive, 863 days
1677.8
TCGA-44-8117-01A
54 years, female, white, stage:Stage IB, alive, 385 days
1673.3
TCGA-38-4627-01A
64 years, female, white, stage:Stage IIA, dead, 1147 days
1670.9
TCGA-86-8278-01A
63 years, female, white, stage:Stage IIB, alive, 944 days
1669.2
TCGA-55-6984-01A
71 years, female, white, stage:Stage IIB, dead, 760 days
1669.0
TCGA-86-8671-01A
72 years, female, white, stage:Stage IIB, alive, 839 days
1666.8
TCGA-86-8585-01A
57 years, male, white, stage:Stage IB, alive, 353 days
1666.2
TCGA-99-AA5R-01A
70 years, female, black or african american, stage:Stage IA, alive, 658 days
1665.6
TCGA-44-2661-01A
69 years, female, white, stage:Stage IA, alive, 1159 days
1664.7
TCGA-38-7271-01A
72 years, female, white, stage:Stage IA, dead, 800 days
1645.3
TCGA-97-A4M3-01A
69 years, female, white, stage:Stage IA, alive, 540 days
1643.9
TCGA-MP-A4T4-01A
68 years, female, white, stage:Stage IIB, dead, 2617 days
1631.6
TCGA-55-7574-01A
64 years, female, white, stage:Stage IB, dead, 995 days
1622.6
TCGA-55-A492-01A
70 years, female, white, stage:Stage IA, alive, 596 days
1615.8
TCGA-55-7728-01A
64 years, female, white, stage:Stage IB, alive, 704 days
1613.3
TCGA-55-A490-01A
78 years, male, white, stage:Stage IIA, dead, 99 days
1612.6
TCGA-78-7167-01A
77 years, male, white, stage:Stage IV, dead, 2681 days
1611.8
TCGA-86-A4P8-01A
59 years, female, white, stage:Stage IIIA, alive, 805 days
1611.6
TCGA-55-8614-01A
76 years, male, white, stage:Stage IB, alive, 536 days
1609.8
TCGA-55-8506-01A
62 years, female, white, stage:Stage IIB, alive, 11 days
1602.4
TCGA-97-7938-01A
76 years, female, white, stage:Stage IA, dead, 18 days
1598.9
TCGA-44-3918-01A
60 years, female, white, stage:Stage IA, alive, 1036 days
1596.1
TCGA-44-3919-01A
71 years, female, white, stage:Stage IA, dead, 1026 days
1595.2
TCGA-86-7953-01A
69 years, female, white, stage:Stage IA, alive, 997 days
1589.2
TCGA-55-8620-01A
60 years, male, white, stage:Stage IV, dead, 375 days
1588.7
TCGA-MN-A4N1-01A
60 years, male, black or african american, stage:Stage IIA, alive, 827 days
1575.5
TCGA-NJ-A55A-01A
76 years, female, white, stage:Stage IB, alive, 15 days
1572.5
TCGA-53-7624-01A
40 years, female, white, stage:Stage IV, dead, 1043 days
1563.6
TCGA-55-A48X-01A
63 years, female, white, stage:Stage IIA, alive, 689 days
1557.8
TCGA-55-7725-01A
68 years, female, white, stage:Stage IA, alive, 442 days
1557.3
TCGA-44-6147-01A
67 years, female, white, stage:Stage IA, alive, 845 days
1555.0
TCGA-55-8507-01A
53 years, male, white, stage:Stage IA, alive, 418 days
1538.9
TCGA-55-8090-01A
80 years, male, white, stage:Stage IA, dead, 598 days
1534.7
TCGA-05-4422-01A
68 years, male, stage:Stage IB, alive, 365 days
1533.4
TCGA-91-7771-01A
62 years, male, white, stage:Stage IIB, alive, 492 days
1527.8
TCGA-55-6978-01A
81 years, male, white, stage:Stage IIA, dead, 176 days
1521.9
TCGA-55-8207-01A
73 years, male, white, stage:Stage IB, alive, 977 days
1517.4
TCGA-55-6543-01A
60 years, female, white, stage:Stage IA, alive, 435 days
1516.7
TCGA-38-4625-01A
66 years, female, white, stage:Stage IB, alive, 2973 days
1515.0
TCGA-44-6779-01A
50 years, female, white, stage:Stage IIB, dead, 500 days
1506.2
TCGA-73-4659-01A
66 years, male, white, stage:Stage IIIA, dead, 711 days
1502.9
TCGA-L9-A8F4-01A
64 years, female, black or african american, stage:Stage IB, alive, 476 days
1501.7
TCGA-73-7498-01A
58 years, female, white, stage:Stage IA, alive, 1189 days
1496.3
TCGA-78-7147-01A
67 years, female, white, stage:Stage IIB, dead, 586 days
1495.4
TCGA-44-7670-01A
47 years, female, white, stage:Stage IIA, alive, 882 days
1491.3
TCGA-86-6562-01A
52 years, male, white, stage:Stage IIA, dead, 376 days
1490.2
TCGA-05-4249-01A
67 years, male, stage:Stage IB, alive, 1523 days
1488.8
TCGA-78-7148-01A
71 years, male, white, stage:Stage IIB, dead, 626 days
1483.5
TCGA-64-1681-01A
61 years, female, white, stage:Stage IA, dead, 1167 days
1482.8
TCGA-86-7713-01A
70 years, male, white, stage:Stage IIA, alive, 1157 days
1482.5
TCGA-50-8457-01A
63 years, female, black or african american, stage:Stage IA, alive, 1125 days
1478.2
TCGA-73-A9RS-01A
41 years, male, black or african american, stage:Stage IIB, dead, 340 days
1473.9
TCGA-55-8514-01A
70 years, female, black or african american, stage:Stage IB, alive, 520 days
1468.2
TCGA-05-4405-01A
74 years, female, stage:Stage IB, alive, 610 days
1466.3
TCGA-44-7659-01A
70 years, male, white, stage:Stage IA, alive, 691 days
1461.4
TCGA-71-6725-01A
48 years, female, asian, stage:Stage IB, alive, 256 days
1460.7
TCGA-55-A493-01A
54 years, female, white, stage:Stage IB, alive, 28 days
1459.6
TCGA-MP-A4SY-01A
61 years, male, white, stage:Stage IIB, dead, 1501 days
1447.6
TCGA-49-6742-01A
70 years, male, white, stage:Stage IIA, dead, 488 days
1442.5
TCGA-78-7540-01A
66 years, female, white, stage:Stage IB, dead, 1197 days
1438.3
TCGA-69-7974-01A
54 years, female, white, stage:Stage IIIA, alive, 184 days
1425.8
TCGA-55-8087-01A
59 years, female, white, stage:Stage IB, alive, 462 days
1423.3
TCGA-MP-A4TD-01A
71 years, male, white, stage:Stage IIIA, dead, 307 days
1420.6
TCGA-49-AARO-01A
39 years, female, black or african american, stage:Stage IA, alive, 3759 days
1417.2
TCGA-91-8497-01A
75 years, female, white, stage:Stage IA, dead, 434 days
1415.9
TCGA-86-8073-01A
58 years, male, white, stage:Stage IB, alive, 740 days
1415.6
TCGA-50-5935-01A
86 years, female, white, stage:Stage IA, dead, 653 days
1414.3
TCGA-50-6593-01A
49 years, female, white, stage:Stage IIIA, dead, 336 days
1406.0
TCGA-78-7145-01A
52 years, female, white, stage:Stage IV, dead, 826 days
1405.3
TCGA-44-6776-01A
60 years, female, white, stage:Stage IA, alive, 2616 days
1404.9
TCGA-78-8660-01A
69 years, male, stage:Stage IIB, dead, 321 days
1398.4
TCGA-44-2659-01A
65 years, female, white, stage:Stage IIB, alive, 1367 days
1395.4
TCGA-L9-A743-01A
56 years, male, black or african american, stage:Stage IIA, alive, 664 days
1395.2
TCGA-49-AAQV-01A
63 years, female, black or african american, stage:Stage II, dead, 677 days
1394.7
TCGA-78-7160-01A
61 years, male, white, stage:Stage IV, dead, 697 days
1392.2
TCGA-86-A4D0-01A
48 years, male, white, stage:Stage IIA, dead, 116 days
1383.6
TCGA-69-7763-01A
69 years, male, white, stage:Stage IA, alive, 690 days
1377.9
TCGA-78-7143-01A
62 years, female, white, stage:Stage IB, dead, 4961 days
1376.8
TCGA-MP-A5C7-01A
76 years, female, white, stage:Stage IB, alive, 2248 days
1368.2
TCGA-73-4675-01A
59 years, male, white, stage:Stage IIIA, dead, 922 days
1356.9
TCGA-78-7155-01A
68 years, male, white, stage:Stage IB, dead, 1171 days
1354.0
TCGA-50-5941-01A
55 years, female, white, stage:Stage IIIA, alive, 1474 days
1348.4
TCGA-44-7660-01A
72 years, male, white, stage:Stage IB, alive, 592 days
1337.7
TCGA-55-8510-01A
55 years, female, white, stage:Stage IB, alive, 539 days
1337.1
TCGA-97-A4M2-01A
66 years, male, white, stage:Stage IA, alive, 624 days
1329.1
TCGA-75-6206-01A
male, stage:Stage IB, alive, 2590 days
1326.8
TCGA-69-7978-01A
59 years, male, white, stage:Stage IIB, alive, 134 days
1326.5
TCGA-62-8395-01A
80 years, female, white, stage:Stage IIB, alive, 1216 days
1322.4
TCGA-78-7633-01A
67 years, male, white, stage:Stage IB, dead, 1528 days
1322.1
TCGA-80-5608-01A
female, stage:Stage IA, alive, 2832 days
1315.3
TCGA-J2-8194-01A
69 years, female, white, stage:Stage IIB, alive, 724 days
1308.3
TCGA-55-6979-01A
59 years, female, white, stage:Stage IIB, dead, 237 days
1308.0
TCGA-55-8621-01A
75 years, female, white, stage:Stage IA, alive, 515 days
1307.5
TCGA-55-6970-01A
67 years, female, white, stage:Stage IIIA, dead, 464 days
1306.2
TCGA-64-5774-01A
60 years, male, white, stage:Stage IB, alive, 2676 days
1304.8
TCGA-55-8301-01A
58 years, male, white, stage:Stage IB, alive, 534 days
1302.5
TCGA-49-AAR3-01A
69 years, male, black or african american, stage:Stage IIB, alive, 1893 days
1302.4
TCGA-44-6148-01A
60 years, male, white, stage:Stage IA, alive, 704 days
1298.0
TCGA-44-8119-01A
73 years, male, white, stage:Stage IIB, alive, 285 days
1291.1
TCGA-55-1596-01A
55 years, male, asian, stage:Stage IIB, alive, 2065 days
1284.9
TCGA-64-1679-01A
58 years, female, white, stage:Stage IIIA, alive, 2488 days
1284.5
TCGA-91-6835-01A
81 years, female, white, stage:Stage IA, alive, 79 days
1282.5
TCGA-05-4417-01A
51 years, female, stage:Stage IB, alive, 455 days
1280.8
TCGA-69-7765-01A
56 years, male, black or african american, stage:'--, alive, 165 days
1275.4
TCGA-67-3774-01A
73 years, female, white, stage:Stage IB, alive, 385 days
1274.6
TCGA-91-6847-01A
62 years, female, white, stage:Stage IB, alive, 842 days
1274.4
TCGA-91-A4BC-01A
59 years, male, white, stage:Stage IIA, alive, 44 days
1271.7
TCGA-50-5072-01A
74 years, male, white, stage:Stage IIIA, dead, 250 days
1266.4
TCGA-05-4433-01A
82 years, male, stage:Stage IB, alive, 730 days
1262.7
TCGA-44-8120-01A
58 years, male, black or african american, stage:Stage IB, alive, 260 days
1255.4
TCGA-05-4384-01A
66 years, male, stage:Stage IIIA, alive, 426 days
1254.6
TCGA-55-A48Y-01A
69 years, male, white, stage:Stage IIA, alive, 630 days
1254.2
TCGA-MP-A4T9-01A
54 years, female, white, stage:Stage IIIA, dead, 1265 days
1248.4
TCGA-49-AAR4-01A
51 years, male, black or african american, stage:Stage IIIA, dead, 879 days
1248.4
TCGA-55-8097-01A
60 years, female, white, stage:Stage IA, alive, 476 days
1247.0
TCGA-44-A47B-01A
79 years, male, white, stage:Stage IB, alive, 287 days
1244.3
TCGA-38-4626-01A
57 years, female, white, stage:'--, alive, 3674 days
1242.5
TCGA-MP-A4TA-01A
75 years, female, white, stage:Stage IA, dead, 950 days
1241.6
TCGA-44-5645-01A
61 years, female, black or african american, stage:Stage IA, alive, 852 days
1240.2
TCGA-55-8513-01A
77 years, female, white, stage:Stage IIB, alive, 791 days
1234.2
TCGA-55-8619-01A
72 years, female, white, stage:Stage IIB, alive, 416 days
1232.7
TCGA-MP-A4TH-01A
70 years, female, white, stage:Stage IA, alive, 741 days
1227.3
TCGA-49-6744-01A
64 years, female, white, stage:Stage IIA, alive, 1683 days
1224.0
TCGA-NJ-A4YQ-01A
69 years, female, white, stage:Stage IA, alive, 1432 days
1223.0
TCGA-50-8459-01A
68 years, male, white, stage:Stage IIB, alive, 1119 days
1221.4
TCGA-97-7547-01A
67 years, female, white, stage:Stage IB, alive, 1965 days
1219.3
TCGA-91-6849-01A
75 years, female, black or african american, stage:Stage IIIA, alive, 35 days
1215.3
TCGA-55-7994-01A
81 years, male, white, stage:Stage IIB, alive, 603 days
1215.2
TCGA-55-6975-01A
61 years, male, white, stage:Stage IIB, dead, 118 days
1211.0
TCGA-78-7220-01A
53 years, female, white, stage:Stage IIIA, dead, 807 days
1209.0
TCGA-MP-A4SW-01A
53 years, male, white, stage:Stage IIB, dead, 1778 days
1208.7
TCGA-55-7726-01A
72 years, female, white, stage:Stage IA, alive, 652 days
1207.8
TCGA-50-5936-01A
58 years, male, white, stage:Stage IIIA, dead, 257 days
1207.1
TCGA-69-7980-01A
70 years, female, white, stage:Stage I, alive, 411 days
1206.9
TCGA-80-5611-01A
male, stage:Stage IB, alive, 2595 days
1206.6
TCGA-05-4402-01A
57 years, female, stage:Stage IV, dead, 244 days
1204.8
TCGA-97-7546-01A
76 years, female, white, stage:Stage IA, alive, 1285 days
1202.9
TCGA-67-3771-01A
77 years, female, black or african american, stage:Stage IA, alive, 610 days
1199.1
TCGA-78-7163-01A
60 years, male, white, stage:Stage IB, alive, 7248 days
1188.9
TCGA-55-6980-01A
56 years, male, white, stage:Stage IA, alive, 2109 days
1184.8
TCGA-MP-A4TJ-01A
62 years, female, stage:Stage IA, dead, 339 days
1183.2
TCGA-73-4662-01A
65 years, female, white, stage:Stage IA, alive, 2515 days
1180.3
TCGA-MP-A4T7-01A
75 years, female, stage:Stage IV, dead, 167 days
1179.9
TCGA-55-6712-01A
71 years, male, white, stage:Stage IIA, dead, 171 days
1177.3
TCGA-62-A46V-01A
78 years, female, white, stage:Stage IB, alive, 2199 days
1173.6
TCGA-73-4668-01A
66 years, female, american indian or alaska native, stage:Stage IIB, alive, 467 days
1173.1
TCGA-50-5930-01A
47 years, male, white, stage:Stage IIIA, dead, 282 days
1169.6
TCGA-69-7973-01A
42 years, female, white, stage:Stage IB, alive, 230 days
1169.4
TCGA-MN-A4N4-01A
57 years, male, white, stage:Stage IA, alive, 1175 days
1169.1
TCGA-55-8096-01A
67 years, female, white, stage:Stage IB, dead, 719 days
1166.5
TCGA-62-8398-01A
55 years, male, white, stage:Stage IIIA, dead, 444 days
1163.8
TCGA-MP-A4TF-01A
58 years, female, white, stage:Stage IIA, dead, 336 days
1162.1
TCGA-86-A4P7-01A
63 years, female, white, stage:Stage IB, alive, 415 days
1156.4
TCGA-91-6848-01A
59 years, male, white, stage:Stage IIIA, alive, 224 days
1155.7
TCGA-44-6145-01A
62 years, female, white, stage:Stage IA, alive, 595 days
1151.4
TCGA-97-8552-01A
55 years, female, white, stage:Stage I, alive, 626 days
1147.1
TCGA-44-2657-01A
74 years, female, white, stage:Stage IB, alive, 1351 days
1144.2
TCGA-05-4396-01A
76 years, male, stage:Stage IIIB, dead, 303 days
1143.0
TCGA-86-7701-01A
66 years, male, white, stage:Stage IV, alive, 947 days
1141.9
TCGA-50-6592-01A
71 years, female, white, stage:Stage IB, dead, 777 days
1141.9
TCGA-44-3396-01A
74 years, female, white, stage:Stage IIIA, alive, 1130 days
1134.4
TCGA-97-A4M6-01A
45 years, female, white, stage:Stage IA, alive, 568 days
1130.6
TCGA-44-A47G-01A
73 years, female, white, stage:Stage IA, alive, 351 days
1127.8
TCGA-55-6968-01A
61 years, male, white, stage:Stage IV, dead, 1293 days
1126.3
TCGA-50-6594-01A
79 years, female, black or african american, stage:Stage IIIA, dead, 370 days
1121.6
TCGA-49-4514-01A
79 years, female, white, stage:Stage IA, alive, 1700 days
1117.6
TCGA-97-A4LX-01A
81 years, male, white, stage:Stage IB, alive, 614 days
1116.9
TCGA-97-7554-01A
83 years, female, white, stage:Stage IIIA, alive, 775 days
1116.7
TCGA-91-6830-01A
65 years, female, white, stage:Stage IIA, alive, 60 days
1115.6
TCGA-86-A456-01A
78 years, female, asian, stage:Stage IA, alive, 896 days
1113.4
TCGA-MP-A4T6-01A
76 years, female, white, stage:Stage IIIA, dead, 1790 days
1109.2
TCGA-78-7150-01A
59 years, male, white, stage:Stage IIB, dead, 666 days
1106.7
TCGA-99-8033-01A
74 years, female, white, stage:Stage IV, dead, 656 days
1105.7
TCGA-55-7816-01A
49 years, female, white, stage:Stage IV, dead, 468 days
1101.7
TCGA-44-7669-01A
59 years, male, black or african american, stage:Stage IIA, dead, 574 days
1101.3
TCGA-55-6985-01A
58 years, female, white, stage:Stage IB, alive, 1233 days
1100.3
TCGA-44-7672-01A
52 years, female, white, stage:Stage IA, alive, 719 days
1093.1
TCGA-55-6982-01A
79 years, female, white, stage:Stage IIB, dead, 995 days
1089.1
TCGA-86-8056-01A
63 years, female, white, stage:Stage IIIA, alive, 139 days
1080.8
TCGA-86-8280-01A
54 years, female, white, stage:Stage IIA, alive, 701 days
1078.8
TCGA-55-A491-01A
81 years, female, white, stage:Stage IA, alive, 626 days
1078.3
TCGA-05-4390-01A
58 years, female, stage:Stage IB, alive, 1126 days
1073.4
TCGA-J2-A4AG-01A
66 years, female, white, stage:Stage IA, alive, 988 days
1072.9
TCGA-86-8279-01A
46 years, male, white, stage:Stage IIA, alive, 949 days
1066.1
TCGA-62-8397-01A
70 years, female, white, stage:Stage IIB, alive, 1289 days
1061.5
TCGA-97-8174-01A
67 years, male, white, stage:Stage IIA, dead, 164 days
1053.5
TCGA-86-7955-01A
62 years, male, white, stage:Stage IB, alive, 1072 days
1051.2
TCGA-55-7995-01A
73 years, female, white, stage:Stage IA, alive, 889 days
1050.7
TCGA-L4-A4E6-01A
67 years, male, white, stage:Stage IA, alive, 435 days
1050.3
TCGA-86-8074-01A
62 years, female, white, stage:Stage IIA, alive, 24 days
1044.0
TCGA-44-6778-01A
59 years, male, black or african american, stage:Stage IA, alive, 1864 days
1042.4
TCGA-97-7553-01A
58 years, female, white, stage:Stage IA, alive, 1870 days
1040.7
TCGA-62-A46R-01A
54 years, female, white, stage:Stage IB, dead, 1725 days
1039.6
TCGA-86-8669-01A
64 years, male, white, stage:Stage IA, alive, 938 days
1038.5
TCGA-97-8172-01A
75 years, female, white, stage:Stage IB, alive, 545 days
1038.2
TCGA-44-A4SS-01A
73 years, male, white, stage:Stage IA, alive, 415 days
1037.5
TCGA-93-A4JP-01A
64 years, male, asian, stage:Stage IV, alive, 578 days
1035.0
TCGA-69-7760-01A
73 years, male, white, stage:Stage IIB, alive, 202 days
1029.3
TCGA-55-8505-01A
62 years, male, white, stage:Stage IIIA, alive, 440 days
1028.3
TCGA-69-8254-01A
85 years, male, white, stage:'--, alive, 409 days
1027.7
TCGA-97-8547-01A
78 years, female, stage:Stage IIIA, alive, 657 days
1024.7
TCGA-69-7764-01A
75 years, male, white, stage:Stage IA, alive, 414 days
1019.8
TCGA-55-7914-01A
71 years, female, white, stage:Stage IIA, dead, 187 days
1018.5
TCGA-44-6777-01A
85 years, female, white, stage:Stage IB, dead, 987 days
1017.1
TCGA-55-8206-01A
56 years, male, white, stage:Stage IA, alive, 888 days
1015.7
TCGA-67-6217-01A
73 years, female, white, stage:Stage IIA, alive, 422 days
1014.7
TCGA-97-7937-01A
65 years, male, white, stage:Stage IB, alive, 564 days
1014.6
TCGA-44-2662-01A
65 years, male, white, stage:Stage IB, alive, 1280 days
1014.2
TCGA-55-8512-01A
41 years, male, white, stage:Stage IV, dead, 607 days
1011.7
TCGA-71-8520-01A
60 years, female, asian, stage:Stage IB, dead, 210 days
1008.3
TCGA-38-A44F-01A
80 years, male, white, stage:Stage IB, alive, 133 days
1003.7
TCGA-55-7910-01A
50 years, female, black or african american, stage:Stage IIA, alive, 1040 days
1002.1
TCGA-05-4382-01A
68 years, male, stage:Stage IB, alive, 607 days
1001.3
TCGA-50-7109-01A
60 years, male, white, stage:Stage IA, dead, 308 days
1000.7
TCGA-44-6774-01A
56 years, female, white, stage:Stage IIIA, alive, 658 days
990.8
TCGA-J2-A4AE-01A
77 years, female, white, stage:Stage IA, alive, 1079 days
987.3
TCGA-55-8203-01A
69 years, female, white, stage:Stage IA, alive, 547 days
985.9
TCGA-86-8075-01A
66 years, female, white, stage:Stage IB, dead, 694 days
984.8
TCGA-93-A4JN-01A
71 years, male, white, stage:Stage IV, alive, 718 days
970.9
TCGA-44-A4SU-01A
67 years, female, white, stage:Stage IA, dead, 409 days
960.0
TCGA-55-A57B-01A
80 years, female, black or african american, stage:Stage IA, alive, 546 days
957.6
TCGA-49-AARR-01A
68 years, male, black or african american, stage:Stage IA, alive, 4992 days
956.2
TCGA-05-5715-01A
69 years, female, stage:Stage IB, alive, 62 days
952.1
TCGA-62-A46O-01A
65 years, female, white, stage:Stage IB, dead, 1454 days
951.0
TCGA-86-8358-01A
44 years, male, white, stage:Stage IB, alive, 653 days
947.5
TCGA-97-8179-01A
72 years, male, white, stage:Stage IA, alive, 435 days
935.2
TCGA-55-7573-01A
72 years, female, white, stage:Stage IA, alive, 487 days
934.9
TCGA-NJ-A55R-01A
67 years, male, white, stage:Stage IA, alive, 603 days
930.9
TCGA-50-5932-01A
75 years, male, white, stage:Stage IIB, dead, 1235 days
929.7
TCGA-L9-A444-01A
60 years, female, white, stage:Stage IA, alive, 307 days
928.8
TCGA-62-A46S-01A
73 years, male, white, stage:Stage IB, dead, 1653 days
928.5
TCGA-MP-A4TE-01A
56 years, male, white, stage:Stage IIA, dead, 896 days
926.3
TCGA-55-6971-01A
59 years, female, white, stage:Stage IB, alive, 1400 days
921.0
TCGA-78-8648-01A
58 years, female, stage:Stage IIB, dead, 1209 days
918.5
TCGA-69-A59K-01A
60 years, female, black or african american, stage:Stage IIB, alive, 591 days
917.7
TCGA-05-4424-01A
70 years, male, stage:Stage IIB, alive, 913 days
914.4
TCGA-S2-AA1A-01A
68 years, female, black or african american, stage:Stage IA, alive, 513 days
904.2
TCGA-55-8089-01A
56 years, male, white, stage:Stage IA, dead, 702 days
903.8
TCGA-91-6828-01A
70 years, male, white, stage:Stage IA, alive, 323 days
902.0
TCGA-49-6743-01A
81 years, female, white, stage:Stage IIIA, alive, 1621 days
893.6
TCGA-75-7027-01A
male, stage:Stage IB, alive, 3059 days
889.2
TCGA-55-A494-01A
61 years, female, white, stage:Stage IB, alive, 481 days
887.4
TCGA-55-1594-01A
68 years, male, white, stage:Stage IIIA, alive, 1178 days
872.8
TCGA-55-7907-01A
77 years, male, white, stage:Stage IIA, dead, 343 days
866.6
TCGA-50-5944-01A
69 years, female, white, stage:Stage IA, alive, 1750 days
864.2
TCGA-78-7159-01A
60 years, female, white, stage:Stage IA, alive, 1974 days
860.7
TCGA-50-8460-01A
74 years, male, white, stage:Stage IA, alive, 829 days
856.0
TCGA-55-A4DF-01A
88 years, male, white, stage:Stage IA, dead, 440 days
854.7
TCGA-55-1592-01A
65 years, male, white, stage:Stage IA, dead, 701 days
854.5
TCGA-91-6831-01A
66 years, male, white, stage:Stage IB, alive, 310 days
853.3
TCGA-62-A470-01A
84 years, male, white, stage:Stage IB, dead, 1194 days
843.3
TCGA-55-A4DG-01A
71 years, male, white, stage:Stage IA, alive, 608 days
841.5
TCGA-55-7570-01A
60 years, male, black or african american, stage:Stage IA, alive, 824 days
829.1
TCGA-97-7552-01A
70 years, male, white, stage:Stage IB, alive, 1932 days
828.3
TCGA-93-7348-01A
75 years, female, white, stage:Stage IA, alive, 531 days
827.0
TCGA-97-A4M7-01A
74 years, male, white, stage:Stage IA, alive, 629 days
826.0
TCGA-55-7727-01A
70 years, male, white, stage:Stage IIIA, alive, 119 days
811.0
TCGA-86-6851-01A
73 years, female, white, stage:Stage IIA, alive, 179 days
788.5
TCGA-05-4432-01A
66 years, male, stage:Stage IIB, alive, 761 days
787.8
TCGA-55-8208-01A
73 years, female, white, stage:Stage IA, alive, 674 days
787.1
TCGA-55-8508-01A
60 years, female, black or african american, stage:Stage IIA, alive, 617 days
785.6
TCGA-J2-8192-01A
65 years, female, white, stage:Stage IIA, alive, 739 days
783.5
TCGA-55-8204-01A
87 years, female, white, stage:Stage IB, alive, 515 days
782.2
TCGA-91-6829-01A
78 years, male, white, stage:Stage IB, dead, 1258 days
767.3
TCGA-75-7025-01A
male, stage:Stage IB, alive, 3305 days
765.6
TCGA-44-6775-01A
72 years, female, white, stage:Stage IB, alive, 705 days
758.7
TCGA-O1-A52J-01A
74 years, female, white, stage:Stage IA, dead, 1798 days
741.9
TCGA-86-7954-01A
68 years, female, white, stage:Stage IB, alive, 605 days
738.0
TCGA-86-7711-01A
70 years, male, white, stage:Stage IIA, dead, 1046 days
737.7
TCGA-64-5779-01A
61 years, male, white, stage:Stage IIIA, alive, 864 days
730.4
TCGA-86-8668-01A
61 years, female, white, stage:Stage IA, alive, 423 days
723.4
TCGA-J2-A4AD-01A
61 years, female, white, stage:Stage IA, dead, 550 days
716.6
TCGA-50-6673-01A
84 years, female, white, stage:Stage I, dead, 22 days
713.4
TCGA-55-6981-01A
53 years, female, white, stage:Stage IIIA, dead, 1379 days
703.2
TCGA-86-8055-01A
79 years, male, white, stage:Stage IIA, dead, 124 days
699.9
TCGA-55-8092-01A
75 years, male, white, stage:Stage IIB, dead, 154 days
667.6
TCGA-55-7724-01A
76 years, female, white, stage:Stage IB, alive, 705 days
632.7
TCGA-55-5899-01A
58 years, male, white, stage:'--, alive, 930 days
626.3
TCGA-55-6642-01A
63 years, male, white, stage:Stage IB, alive, 2449 days
625.9
TCGA-53-7813-01A
51 years, female, white, stage:Stage IIIB, alive, 424 days
610.8
TCGA-44-A479-01A
73 years, female, black or african american, stage:Stage IB, alive, 486 days
585.7
TCGA-44-6146-01A
64 years, male, white, stage:Stage IIB, alive, 728 days
574.0
TCGA-55-7815-01A
76 years, male, stage:Stage IB, alive, 773 days
411.5
TCGA-69-7761-01A
84 years, male, white, stage:Stage IB, alive, 186 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.
RPL35 is not prognostic 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.
0.0019
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.
33%
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
913.9
Number of samples
105
Samples
Sample
Description
TPM
L532
69 years, female, stage:Stage IA, dead, 301 days
2347.4
L827
70 years, male, stage:Stage IIB, dead, 1105 days
2099.3
L616
54 years, male, stage:Stage IA, dead, 410 days
1838.3
L842
62 years, female, stage:Stage IB, alive, 2005 days
1805.5
L703
71 years, male, stage:Stage IIA, dead, 1137 days
1760.2
L613
72 years, male, stage:Stage IIIA, dead, 19 days
1723.7
L662
66 years, male, stage:Stage IA, dead, 865 days
1684.7
L557
81 years, female, stage:Stage IB, alive, 2580 days
1641.9
L603
70 years, female, stage:Stage IB, dead, 972 days
1605.6
L567
83 years, female, stage:Stage IIIA, dead, 1299 days
1497.6
L800
66 years, female, stage:Stage IA, dead, 2417 days
1494.7
L617
68 years, male, stage:Stage IIIA, dead, 238 days
1468.4
L620
70 years, female, stage:Stage IIIA, dead, 338 days
1436.8
L530
76 years, female, stage:Stage IIA, dead, 308 days
1417.1
L605
74 years, female, stage:Stage IA, alive, 2460 days
1393.3
L493
56 years, female, stage:Stage IIB, alive, 2945 days
1381.2
L887
77 years, male, stage:Stage IA, dead, 374 days
1358.0
L683
77 years, female, stage:Stage IIA, dead, 612 days
1328.3
L462
67 years, male, stage:Stage IIIA, dead, 568 days
1319.9
L619
68 years, female, stage:Stage IIIA, dead, 1905 days
1301.6
L458
76 years, female, stage:Stage IA, dead, 223 days
1271.0
L752
65 years, male, stage:Stage IIIA, alive, 1647 days
1261.7
L551
62 years, male, stage:Stage IA, alive, 2924 days
1238.8
L688
57 years, male, stage:Stage IIIA, dead, 789 days
1215.1
L599
80 years, male, stage:Stage IB, dead, 2083 days
1151.1
L585
70 years, female, stage:Stage IIA, dead, 402 days
1129.2
L773
64 years, female, stage:Stage IV, dead, 311 days
1101.1
L593
78 years, male, stage:Stage IA, dead, 2436 days
1093.1
L596
74 years, female, stage:Stage IA, alive, 2319 days
1087.3
L885
62 years, female, stage:Stage IA, alive, 1618 days
1084.7
L545
60 years, female, stage:Stage IA, alive, 2874 days
1058.8
L543
65 years, male, stage:Stage IA, alive, 2711 days
1050.7
L569
76 years, female, stage:Stage IA, alive, 2531 days
1039.1
L673
74 years, female, stage:Stage IA, dead, 568 days
1032.4
L682
64 years, female, stage:Stage IIB, dead, 840 days
1019.0
L877
70 years, female, stage:Stage IA, alive, 1599 days
1017.7
L566
58 years, male, stage:Stage IB, alive, 2489 days
1016.0
L749
49 years, female, stage:Stage IIIA, dead, 189 days
1007.0
L621
79 years, female, stage:Stage IIIA, dead, 1487 days
1000.3
L546
57 years, male, stage:Stage IA, dead, 973 days
983.0
L531
74 years, male, stage:Stage IB, dead, 928 days
964.2
L710
72 years, female, stage:Stage IIA, alive, 1775 days
961.6
L446
71 years, female, stage:Stage IIB, dead, 415 days
958.5
L678
65 years, female, stage:Stage IB, dead, 1114 days
935.0
L768
60 years, male, stage:Stage IIIA, dead, 472 days
929.9
L832
65 years, female, stage:Stage IA, alive, 2145 days
927.4
L484
64 years, female, stage:Stage IA, alive, 2895 days
925.3
L612
80 years, female, stage:Stage IIIA, alive, 2410 days
900.3
L565
59 years, female, stage:Stage IB, dead, 543 days
896.9
L731
59 years, female, stage:Stage IA, dead, 964 days
887.1
L663
62 years, female, stage:Stage IB, alive, 2018 days
863.0
L656
58 years, male, stage:Stage IA, alive, 2227 days
861.8
L561
62 years, female, stage:Stage IA, alive, 2543 days
848.0
L738
74 years, female, stage:Stage IB, dead, 1314 days
847.3
L865
75 years, female, stage:Stage IIB, alive, 1927 days
838.5
L630
65 years, female, stage:Stage IA, dead, 1733 days
836.6
L810
64 years, female, stage:Stage IIIA, dead, 625 days
791.3
L638
65 years, male, stage:Stage IA, alive, 2076 days
790.6
L607
59 years, male, stage:Stage IB, alive, 2572 days
781.9
L766
59 years, male, stage:Stage IB, alive, 1793 days
773.5
L764
66 years, male, stage:Stage IIIA, alive, 1684 days
772.4
L473
66 years, female, stage:Stage IA, alive, 3021 days
769.4
L826
45 years, female, stage:Stage IV, dead, 935 days
760.1
L879
75 years, male, stage:Stage IV, dead, 873 days
747.7
L511
56 years, female, stage:Stage IIIA, alive, 2942 days
744.7
L828
68 years, female, stage:Stage IIB, alive, 2222 days
742.0
L606
55 years, male, stage:Stage IA, alive, 2336 days
735.8
L440
80 years, male, stage:Stage IIB, dead, 651 days
727.1
L808
48 years, female, stage:Stage IA, alive, 3001 days
701.6
L871
74 years, male, stage:Stage IB, dead, 873 days
687.7
L725
64 years, female, stage:Stage IA, alive, 1830 days
676.5
L851
70 years, male, stage:Stage IB, dead, 1315 days
660.1
L400
78 years, male, stage:Stage IIA, dead, 1233 days
651.7
L875
69 years, female, stage:Stage IA, alive, 1675 days
641.5
L829
76 years, male, stage:Stage IA, alive, 2173 days
636.9
L541
70 years, female, stage:Stage IIIA, dead, 915 days
628.0
L802
62 years, female, stage:Stage IA, dead, 773 days
626.7
L695
68 years, female, stage:Stage IB, dead, 1762 days
607.7
L439
80 years, male, stage:Stage IIB, dead, 2773 days
604.6
L689
69 years, male, stage:Stage IA, alive, 1943 days
594.7
L874
56 years, female, stage:Stage IIIA, alive, 1733 days
594.5
L746
64 years, female, stage:Stage IIIA, dead, 594 days
592.1
L831
62 years, female, stage:Stage IB, alive, 2152 days
589.5
L504
65 years, female, stage:Stage IA, dead, 1295 days
563.6
L728
77 years, male, stage:Stage IIB, dead, 1128 days
563.5
L890
56 years, female, stage:Stage IIB, dead, 1264 days
541.1
L791
66 years, female, stage:Stage IIIA, dead, 368 days
538.8
L838
71 years, female, stage:Stage IA, dead, 1005 days
534.7
L626
76 years, female, stage:Stage IA, dead, 1994 days
530.5
L782
73 years, female, stage:Stage IIB, alive, 3371 days
524.2
L413
72 years, female, stage:Stage IIIA, dead, 313 days
505.8
L735
75 years, female, stage:Stage IA, alive, 1830 days
478.7
L455
52 years, female, stage:Stage IA, alive, 3315 days
476.0
L816
73 years, female, stage:Stage IIA, dead, 353 days
471.0
L778
65 years, female, stage:Stage IA, alive, 1600 days
438.6
L404
74 years, female, stage:Stage IIA, dead, 2318 days
394.9
L401
74 years, male, stage:Stage IIIA, dead, 1888 days
362.9
L601
75 years, male, stage:Stage IB, dead, 2068 days
328.1
L867
62 years, female, stage:Stage IIIA, dead, 317 days
326.4
L872
71 years, female, stage:Stage IA, alive, 1793 days
321.6
L814
73 years, male, stage:Stage IIIA, alive, 2466 days
302.1
L880
75 years, female, stage:Stage IA, alive, 1767 days
299.4
L873
62 years, female, stage:Stage IA, alive, 1740 days
298.4
L602
69 years, female, stage:Stage IA, alive, 2277 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.
RPL35 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.
0.096
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.
52%
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.
47%
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
2235.5
Number of samples
489
Samples
Sample
Description
TPM
TCGA-37-4135-01A
68 years, male, white, stage:Stage IB, alive, 207 days
7209.8
TCGA-33-4589-01A
62 years, female, white, stage:Stage IIB, dead, 47 days
6856.8
TCGA-37-4130-01A
56 years, male, white, stage:Stage IA, alive, 247 days
6657.3
TCGA-51-4080-01A
65 years, male, black or african american, stage:Stage IIIB, dead, 12 days
6572.7
TCGA-37-3789-01A
65 years, male, white, stage:Stage IB, alive, 13 days
6479.4
TCGA-39-5011-01A
70 years, female, white, stage:Stage IA, alive, 4053 days
6400.4
TCGA-66-2766-01A
54 years, male, stage:Stage IIIA, alive, 31 days
5916.8
TCGA-77-8144-01A
70 years, male, stage:Stage IB, alive, 833 days
5862.9
TCGA-37-4133-01A
63 years, male, white, stage:Stage IIIA, alive, 238 days
5786.4
TCGA-21-1080-01A
66 years, male, white, stage:Stage IB, alive, 3724 days
5741.9
TCGA-66-2758-01A
71 years, male, stage:Stage IB, alive, 639 days
5729.9
TCGA-MF-A522-01A
54 years, male, white, stage:Stage IB, dead, 360 days
5712.7
TCGA-34-5234-01A
71 years, female, white, stage:Stage IA, alive, 2271 days
5685.6
TCGA-85-8070-01A
71 years, male, white, stage:Stage IB, alive, 960 days
5566.7
TCGA-NC-A5HO-01A
70 years, female, white, stage:Stage IIIA, alive, 1336 days
5445.9
TCGA-66-2795-01A
68 years, male, stage:Stage IIIB, alive, 122 days
5405.0
TCGA-33-4583-01A
73 years, male, white, stage:Stage IA, dead, 4601 days
5392.2
TCGA-60-2726-01A
56 years, male, white, stage:Stage IIA, dead, 358 days
5304.1
TCGA-37-3783-01A
51 years, male, white, stage:Stage IIIA, alive, 122 days
5265.9
TCGA-39-5036-01A
73 years, male, white, stage:Stage IB, alive, 2165 days
5037.3
TCGA-43-3394-01A
52 years, male, black or african american, stage:Stage IB, dead, 1190 days
4783.3
TCGA-18-3421-01A
65 years, male, white, stage:Stage IB, alive, 2645 days
4667.7
TCGA-94-8491-01A
73 years, male, white, stage:Stage IIA, alive, 810 days
4623.1
TCGA-39-5027-01A
73 years, male, white, stage:Stage IB, alive, 3108 days
4612.6
TCGA-66-2757-01A
65 years, female, stage:Stage IA, dead, 1338 days
4609.7
TCGA-66-2768-01A
57 years, male, stage:Stage IIB, alive, 61 days
4527.0
TCGA-33-4566-01A
40 years, male, white, stage:Stage IB, dead, 5287 days
4513.4
TCGA-66-2794-01A
64 years, male, stage:Stage IIIB, alive, 1645 days
4471.5
TCGA-77-7140-01A
69 years, female, white, stage:Stage IIB, dead, 632 days
4285.7
TCGA-39-5037-01A
65 years, male, white, stage:Stage IIA, alive, 1690 days
4255.5
TCGA-85-8479-01A
66 years, male, white, stage:Stage IA, alive, 468 days
4198.4
TCGA-58-8387-01A
60 years, male, white, stage:Stage IIA, dead, 403 days
4185.8
TCGA-94-A5I4-01A
61 years, male, white, stage:Stage IIA, alive, 491 days
4083.2
TCGA-66-2786-01A
68 years, female, stage:Stage IA, alive, 790 days
3952.9
TCGA-O2-A52N-01A
78 years, male, white, stage:Stage I, dead, 1006 days
3897.5
TCGA-33-AASJ-01A
60 years, male, black or african american, stage:Stage IB, dead, 3600 days
3883.7
TCGA-37-4132-01A
61 years, female, white, stage:Stage IV, alive, 227 days
3880.5
TCGA-L3-A524-01A
45 years, female, white, stage:Stage IIB, dead, 490 days
3879.4
TCGA-18-3412-01A
52 years, male, white, stage:Stage IB, dead, 345 days
3783.5
TCGA-66-2783-01A
67 years, male, stage:Stage IIIB, alive, 759 days
3783.1
TCGA-66-2755-01A
63 years, male, stage:Stage IB, alive, 28 days
3777.5
TCGA-85-A5B5-01A
58 years, male, white, stage:Stage IA, alive, 111 days
3763.6
TCGA-22-0944-01A
61 years, male, white, stage:Stage IB, dead, 223 days
3744.5
TCGA-85-7696-01A
64 years, male, white, stage:Stage IA, alive, 1111 days
3681.5
TCGA-85-A4QQ-01A
68 years, male, white, stage:Stage IB, dead, 927 days
3651.8
TCGA-85-A512-01A
46 years, male, white, stage:Stage IIA, alive, 465 days
3641.9
TCGA-77-8150-01A
64 years, male, stage:Stage IIIA, dead, 1655 days
3641.6
TCGA-18-3411-01A
63 years, female, stage:Stage IIIA, alive, 3576 days
3636.8
TCGA-22-5482-01A
81 years, male, white, stage:Stage IB, dead, 357 days
3579.9
TCGA-37-3792-01A
69 years, male, white, stage:Stage IB, alive, 12 days
3551.2
TCGA-58-8386-01A
75 years, male, stage:Stage IV, dead, 1 days
3540.5
TCGA-39-5016-01A
44 years, male, white, stage:Stage IIA, alive, 3850 days
3539.5
TCGA-58-A46N-01A
52 years, male, white, stage:Stage IB, alive, 910 days
3529.3
TCGA-33-AAS8-01A
59 years, female, black or african american, stage:Stage IA, dead, 1114 days
3507.9
TCGA-98-A53A-01A
70 years, male, black or african american, stage:Stage IB, dead, 552 days
3485.9
TCGA-77-7139-01A
56 years, male, white, stage:Stage IIB, alive, 4261 days
3473.8
TCGA-85-8071-01A
52 years, male, white, stage:Stage IIA, alive, 815 days
3465.4
TCGA-33-4533-01A
76 years, female, black or african american, stage:Stage IB, alive, 4068 days
3458.5
TCGA-52-7810-01A
60 years, female, white, stage:Stage IIB, alive, 923 days
3455.2
TCGA-NK-A5D1-01A
57 years, male, white, stage:Stage IIA, alive, 511 days
3447.4
TCGA-NC-A5HN-01A
77 years, male, white, stage:Stage IIA, alive, 1499 days
3446.1
TCGA-85-8052-01A
53 years, male, white, stage:Stage IIB, alive, 734 days
3367.2
TCGA-90-A59Q-01A
61 years, female, white, stage:Stage IIA, dead, 322 days
3346.5
TCGA-77-8128-01A
60 years, male, stage:Stage IIIA, dead, 1150 days
3346.1
TCGA-66-2759-01A
66 years, male, stage:Stage IIIA, alive, 762 days
3339.1
TCGA-66-2780-01A
65 years, male, stage:Stage IB, dead, 366 days
3334.1
TCGA-90-7769-01A
55 years, male, white, stage:Stage IIB, alive, 358 days
3291.5
TCGA-66-2744-01A
71 years, male, stage:Stage IIB, alive, 30 days
3279.9
TCGA-63-A5MM-01A
69 years, female, stage:Stage IIB, dead, 456 days
3276.5
TCGA-66-2792-01A
58 years, male, stage:Stage IIB, alive, 913 days
3250.2
TCGA-66-2778-01A
68 years, female, stage:Stage IIIB, alive, 578 days
3246.7
TCGA-NC-A5HH-01A
53 years, male, white, stage:Stage IA, alive, 37 days
3240.4
TCGA-22-4604-01A
73 years, male, white, stage:Stage IIA, dead, 399 days
3210.4
TCGA-22-5491-01A
74 years, male, white, stage:Stage IA, dead, 1713 days
3199.3
TCGA-39-5039-01A
76 years, male, white, stage:Stage IIA, dead, 544 days
3196.0
TCGA-33-AASL-01A
57 years, female, black or african american, stage:Stage IA, dead, 826 days
3188.5
TCGA-22-4599-01A
73 years, female, white, stage:Stage IB, dead, 1161 days
3182.3
TCGA-34-5240-01A
73 years, female, white, stage:Stage IIB, alive, 1541 days
3169.9
TCGA-85-A4CL-01A
65 years, male, white, stage:Stage IA, dead, 921 days
3164.3
TCGA-46-3769-01A
57 years, male, white, stage:'--, alive, 135 days
3157.1
TCGA-46-3765-01A
59 years, female, white, stage:Stage IA, alive, 405 days
3151.0
TCGA-85-6798-01A
57 years, male, white, stage:Stage IIIA, dead, 195 days
3136.6
TCGA-66-2765-01A
64 years, male, stage:Stage IB, alive, 61 days
3123.5
TCGA-22-5480-01A
66 years, female, white, stage:Stage IA, dead, 2170 days
3104.3
TCGA-77-8153-01A
77 years, female, stage:Stage IB, alive, 1992 days
3100.7
TCGA-46-3768-01A
58 years, male, white, stage:Stage IIIA, dead, 299 days
3089.2
TCGA-NC-A5HR-01A
75 years, female, white, stage:Stage IIA, alive, 1244 days
3076.2
TCGA-77-7465-01A
58 years, male, white, stage:Stage IIA, alive, 990 days
3066.5
TCGA-43-7658-01A
75 years, female, white, stage:Stage IA, dead, 2378 days
3057.8
TCGA-60-2720-01A
60 years, female, white, stage:Stage IB, alive, 97 days
3051.1
TCGA-68-A59J-01A
74 years, female, white, stage:Stage IB, alive, 448 days
3045.0
TCGA-22-0940-01A
71 years, male, white, stage:Stage IIA, dead, 669 days
3036.9
TCGA-77-7335-01A
62 years, female, white, stage:Stage IIIB, dead, 2133 days
3030.2
TCGA-18-3414-01A
73 years, male, asian, stage:Stage IV, dead, 716 days
3026.9
TCGA-60-2722-01A
66 years, male, white, stage:Stage IIB, alive, 908 days
3024.3
TCGA-66-2800-01A
70 years, male, stage:Stage IIIB, alive, 1492 days
3021.3
TCGA-22-5473-01A
78 years, male, white, stage:'--, dead, 1933 days
3017.7
TCGA-60-2716-01A
39 years, male, stage:Stage IIB, alive, 1475 days
3016.1
TCGA-85-8580-01A
52 years, female, white, stage:Stage IB, alive, 1113 days
3008.0
TCGA-60-2711-01A
64 years, female, white, stage:Stage IB, alive, 1260 days
2973.7
TCGA-33-4532-01A
68 years, male, white, stage:Stage IB, dead, 3924 days
2961.4
TCGA-68-7755-01A
60 years, female, white, stage:Stage IIA, alive, 83 days
2955.6
TCGA-66-2727-01A
55 years, female, stage:Stage IB, dead, 516 days
2951.6
TCGA-66-2770-01A
79 years, male, stage:Stage IB, alive, 700 days
2938.3
TCGA-52-7811-01A
67 years, male, white, stage:Stage IB, dead, 266 days
2917.3
TCGA-85-8277-01A
70 years, male, white, stage:Stage IIIA, dead, 307 days
2913.1
TCGA-63-A5MP-01A
56 years, male, stage:Stage IIB, alive, 769 days
2905.9
TCGA-22-5479-01A
64 years, male, white, stage:Stage IB, dead, 2625 days
2904.2
TCGA-66-2771-01A
60 years, male, stage:Stage IIB, alive, 578 days
2899.5
TCGA-34-2596-01A
70 years, male, white, stage:Stage IIB, dead, 80 days
2892.9
TCGA-34-5241-01A
79 years, male, white, stage:Stage IB, dead, 515 days
2887.1
TCGA-68-7756-01A
84 years, male, white, stage:Stage IIIA, alive, 202 days
2883.8
TCGA-18-3410-01A
81 years, male, stage:Stage IIB, dead, 146 days
2877.1
TCGA-52-7812-01A
68 years, male, white, stage:'--, dead, 835 days
2874.8
TCGA-18-3415-01A
77 years, male, stage:Stage IB, dead, 2803 days
2867.0
TCGA-66-2737-01A
72 years, male, stage:Stage IIB, alive, 61 days
2856.2
TCGA-37-A5EL-01A
53 years, male, white, stage:Stage IIB, dead, 1143 days
2815.4
TCGA-NC-A5HK-01A
58 years, female, white, stage:Stage IIB, alive, 128 days
2812.1
TCGA-85-8352-01A
67 years, male, white, stage:Stage IIIA, dead, 161 days
2798.9
TCGA-77-8133-01A
74 years, male, stage:Stage IIA, dead, 1640 days
2781.2
TCGA-37-4129-01A
52 years, female, white, stage:Stage IA, alive, 242 days
2780.9
TCGA-58-8391-01A
57 years, female, white, stage:Stage IIIA, alive, 2167 days
2769.7
TCGA-18-3416-01A
83 years, male, stage:Stage IIB, dead, 973 days
2752.0
TCGA-63-A5MJ-01A
54 years, male, stage:Stage IIB, alive, 1824 days
2745.0
TCGA-66-2754-01A
67 years, male, stage:Stage IIIA, alive, 61 days
2706.0
TCGA-33-4582-01A
55 years, male, white, stage:Stage IA, dead, 3149 days
2704.9
TCGA-58-8392-01A
70 years, male, white, stage:Stage IB, dead, 501 days
2702.3
TCGA-77-8148-01A
68 years, male, stage:Stage IIIA, alive, 2023 days
2701.5
TCGA-66-2791-01A
66 years, male, stage:Stage IIIB, dead, 153 days
2700.0
TCGA-77-7337-01A
65 years, male, white, stage:Stage IIB, dead, 3253 days
2693.4
TCGA-66-2782-01A
71 years, male, stage:Stage IIB, dead, 365 days
2680.6
TCGA-90-A4ED-01A
69 years, male, white, stage:Stage IB, alive, 615 days
2678.2
TCGA-85-A4PA-01A
61 years, male, white, stage:Stage IB, alive, 741 days
2677.5
TCGA-92-8063-01A
52 years, male, white, stage:Stage IIIA, alive, 122 days
2664.9
TCGA-52-7809-01A
74 years, male, white, stage:Stage IB, dead, 166 days
2661.5
TCGA-60-2723-01A
74 years, female, white, stage:Stage IB, alive, 1092 days
2643.8
TCGA-85-8354-01A
53 years, male, white, stage:Stage IB, alive, 995 days
2635.2
TCGA-21-1078-01A
77 years, male, white, stage:Stage IB, dead, 474 days
2610.1
TCGA-63-6202-01A
male, stage:Stage IIA, alive, 1602 days
2596.2
TCGA-NC-A5HF-01A
74 years, male, white, stage:Stage IIIB, dead, 138 days
2585.0
TCGA-85-A4CN-01A
56 years, female, white, stage:Stage IIB, alive, 1038 days
2583.2
TCGA-96-A4JL-01A
78 years, female, asian, stage:Stage IIA, alive, 842 days
2579.1
TCGA-56-7730-01A
73 years, male, white, stage:Stage IIA, dead, 198 days
2578.1
TCGA-96-A4JK-01A
65 years, male, white, stage:Stage IIA, alive, 589 days
2574.1
TCGA-66-2756-01A
68 years, male, stage:Stage IIIB, alive, 30 days
2567.7
TCGA-33-AASD-01A
83 years, male, black or african american, stage:Stage IA, dead, 2249 days
2567.3
TCGA-O2-A52S-01A
57 years, female, white, stage:Stage III, dead, 387 days
2550.5
TCGA-39-5021-01A
70 years, male, white, stage:Stage IB, dead, 2086 days
2547.7
TCGA-33-4586-01A
57 years, male, white, stage:Stage IIIA, dead, 428 days
2541.5
TCGA-22-4613-01A
73 years, female, white, stage:Stage IA, dead, 358 days
2533.0
TCGA-85-7698-01A
48 years, male, white, stage:Stage IA, alive, 952 days
2524.9
TCGA-18-4086-01A
64 years, male, stage:Stage IB, dead, 85 days
2523.2
TCGA-NC-A5HE-01A
60 years, male, white, stage:Stage IIB, alive, 2336 days
2516.1
TCGA-22-5471-01A
75 years, male, white, stage:Stage IB, alive, 1845 days
2515.6
TCGA-43-7657-01A
68 years, female, white, stage:Stage IA, alive, 236 days
2508.8
TCGA-94-8035-01A
64 years, male, white, stage:Stage IIB, alive, 122 days
2504.6
TCGA-70-6723-01A
65 years, male, asian, stage:Stage IIA, alive, 375 days
2498.5
TCGA-56-8624-01A
84 years, male, white, stage:Stage IIB, alive, 420 days
2496.6
TCGA-21-5786-01A
64 years, male, white, stage:Stage IB, alive, 1032 days
2495.5
TCGA-85-7710-01A
59 years, female, white, stage:Stage IA, alive, 42 days
2489.7
TCGA-43-3920-01A
71 years, male, white, stage:Stage IB, alive, 1007 days
2487.3
TCGA-NC-A5HL-01A
73 years, male, white, stage:Stage IIA, dead, 88 days
2486.5
TCGA-77-8156-01A
60 years, male, stage:Stage IB, alive, 1106 days
2480.9
TCGA-43-8118-01A
55 years, female, white, stage:Stage IA, dead, 89 days
2477.9
TCGA-51-4079-01A
73 years, female, black or african american, stage:Stage IB, dead, 12 days
2460.7
TCGA-60-2695-01A
74 years, female, white, stage:Stage IB, alive, 642 days
2448.8
TCGA-33-AASB-01A
66 years, male, black or african american, stage:Stage IB, dead, 211 days
2447.2
TCGA-85-A4JC-01A
84 years, male, white, stage:Stage IIA, dead, 604 days
2439.4
TCGA-21-5787-01A
65 years, male, black or african american, stage:Stage IIIA, dead, 329 days
2422.1
TCGA-LA-A446-01A
68 years, male, white, stage:Stage IA, alive, 401 days
2417.9
TCGA-33-AASI-01A
65 years, female, black or african american, stage:Stage IIB, dead, 1344 days
2394.2
TCGA-94-8490-01A
70 years, male, white, stage:Stage IIB, alive, 153 days
2383.2
TCGA-22-5481-01A
72 years, female, white, stage:Stage IIB, dead, 2409 days
2383.1
TCGA-18-5595-01A
50 years, male, stage:Stage IB, dead, 827 days
2376.5
TCGA-60-2708-01A
64 years, female, white, stage:Stage IIB, alive, 2447 days
2368.7
TCGA-33-A4WN-01A
60 years, male, white, stage:Stage IB, dead, 143 days
2356.6
TCGA-39-5031-01A
76 years, female, stage:Stage IA, dead, 1841 days
2342.3
TCGA-66-2767-01A
62 years, male, stage:Stage IIIB, alive, 61 days
2334.8
TCGA-39-5029-01A
67 years, male, white, stage:Stage IIIA, dead, 740 days
2333.7
TCGA-43-A474-01A
66 years, male, white, stage:Stage IIA, alive, 353 days
2327.6
TCGA-37-4141-01A
65 years, female, white, stage:Stage IA, alive, 12 days
2326.5
TCGA-85-8351-01A
72 years, male, white, stage:Stage IIA, alive, 510 days
2326.5
TCGA-37-A5EN-01A
59 years, male, white, stage:Stage IIIB, alive, 660 days
2323.7
TCGA-43-A475-01A
67 years, female, white, stage:Stage IIB, alive, 296 days
2307.8
TCGA-22-4607-01A
75 years, male, white, stage:Stage IB, dead, 587 days
2307.7
TCGA-33-4538-01A
66 years, male, white, stage:Stage IIIA, dead, 2979 days
2303.9
TCGA-77-7138-01A
67 years, male, stage:Stage IB, dead, 340 days
2291.2
TCGA-77-A5GA-01A
76 years, male, stage:Stage IB, alive, 1280 days
2286.0
TCGA-37-5819-01A
64 years, male, white, stage:Stage IIIA, alive, 103 days
2285.6
TCGA-56-8083-01A
56 years, male, white, stage:Stage IB, alive, 150 days
2283.8
TCGA-34-7107-01A
70 years, male, white, stage:Stage II, dead, 34 days
2268.7
TCGA-77-A5G3-01A
63 years, male, stage:Stage IIB, alive, 4570 days
2264.1
TCGA-56-A62T-01A
78 years, male, black or african american, stage:Stage IIA, alive, 440 days
2258.3
TCGA-LA-A7SW-01A
71 years, male, black or african american, stage:Stage IIIA, dead, 408 days
2252.6
TCGA-NK-A5CR-01A
77 years, male, stage:Stage IB, alive, 2542 days
2247.3
TCGA-21-1072-01A
75 years, male, white, stage:Stage IB, alive, 3016 days
2237.7
TCGA-18-5592-01A
57 years, male, stage:Stage IIB, alive, 1519 days
2235.1
TCGA-18-3406-01A
67 years, male, white, stage:Stage IA, dead, 371 days
2233.8
TCGA-63-A5MI-01A
65 years, male, stage:Stage IIIA, alive, 1784 days
2227.5
TCGA-98-8023-01A
70 years, male, white, stage:Stage IIIA, alive, 649 days
2207.7
TCGA-18-3417-01A
65 years, male, stage:Stage IV, dead, 1097 days
2201.6
TCGA-43-5670-01A
70 years, male, white, stage:Stage IIA, alive, 849 days
2199.3
TCGA-66-2781-01A
67 years, male, stage:Stage IB, alive, 121 days
2198.8
TCGA-77-8009-01A
68 years, male, stage:Stage IIB, dead, 1695 days
2173.5
TCGA-85-8072-01A
60 years, male, white, stage:Stage IA, alive, 932 days
2167.8
TCGA-60-2710-01A
67 years, female, white, stage:Stage IIA, alive, 2024 days
2164.6
TCGA-56-8504-01A
74 years, male, white, stage:Stage IB, alive, 510 days
2161.9
TCGA-22-4596-01A
69 years, female, white, stage:Stage IB, dead, 17 days
2150.8
TCGA-66-2777-01A
71 years, male, stage:Stage IB, alive, 61 days
2141.9
TCGA-33-A5GW-01A
67 years, male, white, stage:Stage IIA, dead, 9 days
2135.4
TCGA-85-7697-01A
49 years, male, white, stage:Stage IIB, alive, 1063 days
2134.8
TCGA-77-8145-01A
73 years, male, stage:Stage IIIB, dead, 212 days
2133.7
TCGA-34-5239-01A
75 years, male, white, stage:Stage IIIA, alive, 1834 days
2131.7
TCGA-21-5782-01A
68 years, female, white, stage:Stage IB, dead, 962 days
2126.4
TCGA-O2-A52Q-01A
44 years, female, white, stage:Stage III, dead, 113 days
2123.1
TCGA-77-A5GF-01A
70 years, male, stage:Stage IIA, dead, 840 days
2119.5
TCGA-77-7463-01A
75 years, male, white, stage:Stage IB, dead, 1423 days
2113.2
TCGA-98-A539-01A
63 years, male, white, stage:Stage IIB, alive, 173 days
2112.2
TCGA-NC-A5HD-01A
79 years, male, white, stage:Stage IIB, dead, 2 days
2106.8
TCGA-56-A4ZK-01A
76 years, female, white, stage:Stage IB, alive, 570 days
2101.8
TCGA-22-5477-01A
65 years, male, white, stage:Stage IA, dead, 1346 days
2092.8
TCGA-98-A53I-01A
64 years, male, white, stage:Stage IIA, alive, 565 days
2092.6
TCGA-56-7580-01A
84 years, male, white, stage:Stage IB, alive, 925 days
2088.6
TCGA-56-A4BX-01A
70 years, male, white, stage:Stage IIA, alive, 405 days
2081.6
TCGA-39-5028-01A
75 years, male, white, stage:Stage IIIA, dead, 52 days
2079.2
TCGA-66-2785-01A
65 years, male, stage:Stage IB, alive, 60 days
2073.8
TCGA-60-2698-01A
62 years, male, white, stage:Stage IIB, dead, 311 days
2062.7
TCGA-56-A5DR-01A
81 years, male, white, stage:Stage IA, alive, 4 days
2046.8
TCGA-56-7582-01A
83 years, male, white, stage:Stage IB, alive, 601 days
2041.9
TCGA-NK-A7XE-01A
66 years, male, black or african american, stage:Stage IIIB, alive, 13 days
2041.1
TCGA-60-2707-01A
70 years, male, stage:Stage IB, dead, 667 days
2039.2
TCGA-66-2787-01A
57 years, male, stage:Stage IA, alive, 1217 days
2018.3
TCGA-58-A46L-01A
73 years, male, white, stage:Stage IIIA, alive, 1723 days
2008.5
TCGA-96-7545-01A
73 years, male, white, stage:Stage IA, dead, 1736 days
2004.6
TCGA-90-A4EE-01A
53 years, male, white, stage:Stage IIA, alive, 688 days
2004.5
TCGA-22-5472-01A
67 years, male, white, stage:Stage IB, dead, 1975 days
2004.0
TCGA-34-2600-01A
76 years, female, white, stage:Stage IA, dead, 1874 days
1995.4
TCGA-85-8584-01A
71 years, male, white, stage:Stage IIA, dead, 383 days
1994.2
TCGA-68-8251-01A
78 years, male, white, stage:Stage IB, alive, 406 days
1990.7
TCGA-39-5035-01A
72 years, female, white, stage:Stage IA, alive, 2080 days
1988.4
TCGA-NC-A5HM-01A
76 years, male, white, stage:Stage IB, alive, 1212 days
1984.2
TCGA-85-7950-01A
46 years, male, white, stage:Stage IB, alive, 576 days
1979.2
TCGA-56-7222-01A
60 years, male, white, stage:Stage IB, dead, 562 days
1973.2
TCGA-98-A53J-01A
77 years, male, white, stage:Stage IB, alive, 630 days
1971.9
TCGA-22-5485-01A
58 years, female, white, stage:Stage IA, dead, 916 days
1966.6
TCGA-39-5019-01A
70 years, male, white, stage:Stage IB, alive, 3387 days
1964.7
TCGA-22-1012-01A
80 years, female, white, stage:Stage IB, dead, 429 days
1958.0
TCGA-63-A5ML-01A
68 years, male, stage:Stage IB, alive, 1386 days
1957.4
TCGA-56-8201-01A
74 years, male, white, stage:Stage IIB, dead, 397 days
1955.7
TCGA-51-4081-01A
55 years, male, white, stage:Stage IIB, alive, 911 days
1955.7
TCGA-56-8082-01A
80 years, female, white, stage:Stage IIA, alive, 455 days
1953.6
TCGA-NC-A5HP-01A
69 years, male, white, stage:Stage IV, dead, 770 days
1952.8
TCGA-NC-A5HQ-01A
70 years, male, white, stage:Stage IIIA, dead, 448 days
1946.2
TCGA-98-A53D-01A
68 years, male, white, stage:Stage IIB, dead, 645 days
1931.3
TCGA-43-6770-01A
59 years, female, black or african american, stage:Stage IB, alive, 653 days
1927.8
TCGA-56-8305-01A
72 years, male, white, stage:Stage IB, alive, 105 days
1920.7
TCGA-63-A5MB-01A
62 years, male, stage:Stage IB, alive, 3123 days
1916.9
TCGA-63-A5MR-01A
70 years, female, stage:Stage IB, alive, 2716 days
1915.6
TCGA-85-A510-01A
74 years, female, white, stage:Stage IIB, alive, 482 days
1913.3
TCGA-18-3407-01A
72 years, male, asian, stage:Stage IB, dead, 136 days
1911.6
TCGA-77-8131-01A
72 years, male, stage:Stage IB, dead, 383 days
1910.0
TCGA-85-8666-01A
65 years, male, white, stage:Stage IB, dead, 687 days
1903.2
TCGA-56-7579-01A
61 years, male, white, stage:Stage IIIA, dead, 951 days
1890.4
TCGA-18-4721-01A
74 years, male, white, stage:Stage IA, alive, 4694 days
1883.5
TCGA-21-5784-01A
80 years, female, white, stage:Stage IB, alive, 1268 days
1882.7
TCGA-37-A5EM-01A
49 years, male, white, stage:Stage II, alive, 867 days
1867.8
TCGA-21-A5DI-01A
77 years, male, white, stage:Stage IA, alive, 979 days
1861.2
TCGA-92-8065-01A
74 years, female, white, stage:Stage IIB, alive, 70 days
1860.2
TCGA-63-7023-01A
male, stage:Stage IIA, alive, 1682 days
1858.2
TCGA-21-1077-01A
64 years, male, white, stage:Stage IIB, dead, 1058 days
1849.1
TCGA-34-5929-01A
78 years, female, white, stage:Stage IB, dead, 151 days
1848.8
TCGA-77-7142-01A
59 years, female, white, stage:Stage IB, alive, 2227 days
1840.4
TCGA-77-7141-01A
64 years, male, white, stage:Stage IB, alive, 15 days
1826.0
TCGA-77-8140-01A
66 years, female, stage:Stage IIB, dead, 351 days
1823.9
TCGA-85-A53L-01A
63 years, male, asian, stage:Stage IIA, alive, 377 days
1823.3
TCGA-66-2769-01A
75 years, male, stage:Stage IIIB, dead, 215 days
1821.7
TCGA-63-A5MH-01A
68 years, male, stage:Stage IA, alive, 2026 days
1794.0
TCGA-60-2696-01A
76 years, female, black or african american, stage:Stage IIA, dead, 109 days
1793.9
TCGA-60-2713-01A
64 years, male, white, stage:Stage IB, alive, 1731 days
1793.7
TCGA-22-4593-01A
77 years, male, white, stage:Stage IIA, dead, 1067 days
1789.2
TCGA-90-7767-01A
56 years, male, white, stage:Stage IIB, alive, 89 days
1787.7
TCGA-66-2793-01A
68 years, male, stage:Stage IIIB, dead, 306 days
1787.7
TCGA-21-1075-01A
57 years, male, white, stage:Stage IIB, alive, 2134 days
1777.9
TCGA-85-8353-01A
72 years, male, white, stage:Stage IIIA, dead, 94 days
1777.3
TCGA-66-2773-01A
69 years, male, stage:Stage IB, dead, 92 days
1770.6
TCGA-46-6025-01A
71 years, male, white, stage:Stage IIB, alive, 324 days
1757.7
TCGA-34-8456-01A
71 years, female, white, stage:Stage IIA, alive, 804 days
1757.7
TCGA-34-5232-01A
75 years, female, black or african american, stage:Stage IIA, alive, 2471 days
1752.6
TCGA-46-3767-01A
76 years, male, white, stage:Stage IA, alive, 396 days
1742.1
TCGA-85-7843-01A
50 years, male, white, stage:Stage IIA, alive, 35 days
1740.6
TCGA-21-1079-01A
71 years, male, white, stage:Stage IIIA, dead, 965 days
1732.1
TCGA-22-1017-01A
62 years, male, white, stage:Stage IA, dead, 1485 days
1732.0
TCGA-56-5898-01A
69 years, male, white, stage:Stage IA, alive, 555 days
1727.9
TCGA-58-A46M-01A
61 years, male, white, stage:Stage IIB, alive, 1072 days
1723.8
TCGA-98-8020-01A
56 years, female, black or african american, stage:Stage IIIA, dead, 84 days
1719.5
TCGA-22-5483-01A
74 years, male, white, stage:Stage IIA, dead, 573 days
1719.0
TCGA-66-2763-01A
63 years, female, stage:Stage IB, alive, 30 days
1703.0
TCGA-43-8116-01A
73 years, male, white, stage:Stage IA, alive, 358 days
1701.8
TCGA-85-7699-01A
73 years, male, white, stage:Stage IIIA, dead, 1001 days
1697.6
TCGA-21-5783-01A
76 years, male, white, stage:Stage IB, dead, 2680 days
1697.5
TCGA-NC-A5HG-01A
59 years, male, white, stage:Stage IIIA, alive, 1963 days
1694.8
TCGA-22-4595-01A
57 years, male, white, stage:Stage IIIA, dead, 734 days
1689.1
TCGA-39-5040-01A
59 years, male, white, stage:Stage IIIA, dead, 519 days
1687.7
TCGA-58-8388-01A
60 years, male, white, stage:Stage IB, dead, 412 days
1684.0
TCGA-98-A538-01A
67 years, male, white, stage:Stage IIB, alive, 826 days
1674.9
TCGA-52-7622-01A
62 years, female, white, stage:Stage IA, alive, 862 days
1673.5
TCGA-98-A53H-01A
76 years, female, white, stage:Stage IA, alive, 618 days
1672.4
TCGA-60-2703-01A
73 years, male, white, stage:Stage IIB, dead, 2945 days
1659.4
TCGA-18-3409-01A
74 years, male, white, stage:Stage IA, alive, 3747 days
1658.2
TCGA-34-A5IX-01A
80 years, male, white, stage:Stage IIB, alive, 1031 days
1656.4
TCGA-56-7221-01A
79 years, male, white, stage:Stage IB, alive, 608 days
1643.2
TCGA-85-8664-01A
73 years, male, white, stage:Stage IIB, dead, 550 days
1637.9
TCGA-77-8007-01A
68 years, male, stage:Stage IIB, dead, 198 days
1633.9
TCGA-68-8250-01A
66 years, male, black or african american, stage:Stage IA, alive, 244 days
1632.7
TCGA-56-1622-01A
58 years, male, white, stage:Stage IB, dead, 881 days
1628.9
TCGA-J1-A4AH-01A
70 years, male, white, stage:Stage IIA, alive, 581 days
1620.1
TCGA-34-2608-01A
84 years, male, white, stage:Stage IB, dead, 1000 days
1614.2
TCGA-43-6771-01A
85 years, male, white, stage:Stage IB, dead, 166 days
1612.5
TCGA-77-8154-01A
67 years, male, stage:Stage IA, alive, 1841 days
1612.2
TCGA-22-4594-01A
60 years, female, stage:Stage IIIA, dead, 1470 days
1606.3
TCGA-34-5236-01A
60 years, male, white, stage:Stage IIB, dead, 276 days
1600.7
TCGA-56-A4BY-01A
66 years, male, white, stage:Stage IB, dead, 543 days
1597.6
TCGA-22-1016-01A
65 years, male, white, stage:Stage IB, dead, 822 days
1594.7
TCGA-58-8390-01A
70 years, male, white, stage:Stage IIA, alive, 911 days
1593.6
TCGA-56-A49D-01A
67 years, male, white, stage:Stage IIIA, alive, 637 days
1591.9
TCGA-56-A4ZJ-01A
75 years, female, white, stage:Stage IA, alive, 640 days
1590.7
TCGA-43-2578-01A
59 years, female, white, stage:Stage IA, dead, 684 days
1590.3
TCGA-63-A5MY-01A
63 years, male, stage:Stage IA, alive, 1052 days
1583.9
TCGA-85-A511-01A
62 years, male, white, stage:Stage IIB, dead, 455 days
1580.6
TCGA-77-6845-01A
69 years, male, white, stage:Stage IIB, dead, 708 days
1579.8
TCGA-43-A56V-01A
61 years, male, black or african american, stage:Stage IIIA, alive, 366 days
1579.0
TCGA-22-4605-01A
78 years, female, stage:Stage IB, dead, 974 days
1578.4
TCGA-58-A46J-01A
64 years, male, white, stage:Stage IIB, alive, 2589 days
1578.3
TCGA-33-4587-01A
63 years, female, white, stage:Stage IB, dead, 1656 days
1574.9
TCGA-56-8304-01A
73 years, female, white, stage:Stage IA, alive, 106 days
1565.8
TCGA-98-8021-01A
75 years, female, white, stage:Stage IA, alive, 937 days
1563.4
TCGA-46-6026-01A
81 years, male, white, stage:Stage IIB, alive, 423 days
1562.0
TCGA-34-5927-01A
70 years, female, white, stage:Stage IA, alive, 1361 days
1557.7
TCGA-94-7557-01A
73 years, male, black or african american, stage:Stage IB, dead, 5 days
1551.5
TCGA-43-7656-01A
71 years, male, white, stage:Stage IA, alive, 596 days
1539.6
TCGA-85-8481-01A
70 years, male, white, stage:Stage IIB, dead, 236 days
1539.2
TCGA-63-7021-01A
male, stage:Stage IA, alive, 2142 days
1538.7
TCGA-66-2742-01A
70 years, male, stage:Stage IV, alive, 641 days
1531.4
TCGA-66-2734-01A
62 years, female, stage:Stage IB, alive, 1311 days
1527.9
TCGA-66-2789-01A
73 years, male, stage:Stage IIIB, dead, 123 days
1525.0
TCGA-33-6737-01A
71 years, male, white, stage:Stage IIIA, dead, 601 days
1523.4
TCGA-85-A4QR-01A
67 years, male, white, stage:Stage IB, alive, 600 days
1522.8
TCGA-63-A5MT-01A
74 years, male, stage:Stage IIB, alive, 498 days
1514.2
TCGA-60-2719-01A
83 years, female, white, stage:Stage IB, alive, 1297 days
1512.8
TCGA-56-A4BW-01A
55 years, male, white, stage:Stage IIA, alive, 585 days
1505.3
TCGA-60-2724-01A
47 years, male, white, stage:Stage IIIA, alive, 717 days
1499.8
TCGA-56-8503-01A
76 years, female, white, stage:Stage IIB, alive, 41 days
1497.9
TCGA-34-8454-01A
62 years, female, white, stage:Stage IIIA, alive, 1180 days
1497.4
TCGA-51-6867-01A
72 years, female, white, stage:Stage I, dead, 1856 days
1495.5
TCGA-60-2725-01A
74 years, male, white, stage:Stage IB, alive, 816 days
1493.7
TCGA-77-8138-01A
74 years, male, stage:Stage IB, dead, 539 days
1479.7
TCGA-77-7338-01A
64 years, male, white, stage:Stage IB, dead, 5 days
1476.5
TCGA-94-7033-01A
73 years, male, white, stage:Stage IB, alive, 640 days
1476.2
TCGA-NC-A5HJ-01A
59 years, male, white, stage:Stage IIB, dead, 418 days
1472.6
TCGA-22-4601-01A
73 years, female, white, stage:Stage IIIA, dead, 1057 days
1471.3
TCGA-77-8146-01A
72 years, male, stage:Stage IA, alive, 3189 days
1470.8
TCGA-98-8022-01A
61 years, male, white, stage:Stage IA, dead, 933 days
1468.4
TCGA-92-8064-01A
58 years, male, white, stage:'--, alive, 160 days
1467.2
TCGA-85-8355-01A
63 years, male, white, stage:Stage IA, alive, 61 days
1466.6
TCGA-56-7731-01A
66 years, female, white, stage:Stage IB, dead, 3 days
1455.4
TCGA-21-1076-01A
54 years, female, white, stage:Stage IB, alive, 1852 days
1447.0
TCGA-NK-A5CT-01A
70 years, male, white, stage:Stage IA, alive, 1997 days
1447.0
TCGA-58-A46K-01A
59 years, male, white, stage:Stage IIIA, dead, 1045 days
1435.7
TCGA-85-7844-01A
71 years, male, white, stage:Stage IB, alive, 911 days
1435.2
TCGA-92-7340-01A
45 years, female, white, stage:Stage IIA, alive, 82 days
1432.9
TCGA-22-4609-01A
81 years, male, white, stage:Stage IA, dead, 291 days
1425.0
TCGA-56-8308-01A
79 years, male, white, stage:Stage IIB, alive, 517 days
1425.0
TCGA-60-2715-01A
51 years, male, white, stage:Stage IA, dead, 1075 days
1418.9
TCGA-77-A5FZ-01A
64 years, male, stage:Stage IIIB, dead, 3838 days
1418.9
TCGA-94-7943-01A
80 years, male, white, stage:Stage IA, alive, 559 days
1411.5
TCGA-L3-A4E7-01A
71 years, male, white, stage:Stage IB, alive, 392 days
1406.4
TCGA-21-1083-01A
75 years, male, white, stage:Stage IA, dead, 1315 days
1397.1
TCGA-66-2753-01A
69 years, male, stage:Stage IB, alive, 31 days
1396.2
TCGA-70-6722-01A
47 years, male, asian, stage:Stage IIIA, alive, 367 days
1395.8
TCGA-77-8143-01A
76 years, male, stage:Stage IIIA, dead, 803 days
1389.7
TCGA-63-A5MW-01A
76 years, male, stage:Stage IB, alive, 1639 days
1385.7
TCGA-77-8130-01A
69 years, male, stage:Stage IIB, alive, 4765 days
1375.2
TCGA-60-2709-01A
69 years, male, black or african american, stage:Stage IB, alive, 1505 days
1373.2
TCGA-60-2697-01A
41 years, male, white, stage:Stage IIA, dead, 372 days
1361.8
TCGA-18-3408-01A
77 years, female, white, stage:Stage IB, dead, 2304 days
1360.3
TCGA-56-8629-01A
63 years, male, white, stage:Stage IIA, alive, 481 days
1352.6
TCGA-56-8625-01A
66 years, female, white, stage:Stage IIIA, dead, 315 days
1348.8
TCGA-22-5492-01A
73 years, female, stage:Stage IIIA, dead, 506 days
1342.5
TCGA-33-4547-01A
68 years, male, white, stage:Stage IB, alive, 2419 days
1340.2
TCGA-56-7822-01A
75 years, male, black or african american, stage:Stage IIB, dead, 532 days
1337.2
TCGA-NK-A5CX-01A
73 years, male, white, stage:Stage IIA, alive, 111 days
1329.8
TCGA-58-8393-01A
68 years, female, white, stage:Stage IB, alive, 1058 days
1317.6
TCGA-22-5474-01A
74 years, male, white, stage:Stage IB, dead, 445 days
1309.6
TCGA-77-A5G6-01A
66 years, male, stage:Stage IIIA, dead, 678 days
1306.7
TCGA-85-8582-01A
49 years, male, white, stage:Stage IA, alive, 1160 days
1295.6
TCGA-O2-A52V-01A
75 years, female, black or african american, stage:Stage II, dead, 1335 days
1294.6
TCGA-34-8455-01A
67 years, male, white, stage:Stage IV, dead, 123 days
1291.8
TCGA-43-2576-01A
62 years, female, white, stage:Stage IIIA, alive, 1223 days
1291.6
TCGA-22-5489-01A
64 years, male, white, stage:Stage IA, dead, 1912 days
1289.3
TCGA-34-5231-01A
72 years, male, white, stage:Stage IA, dead, 1984 days
1288.3
TCGA-85-8276-01A
62 years, male, white, stage:Stage IIA, alive, 1050 days
1284.7
TCGA-46-3766-01A
62 years, female, white, stage:Stage IA, alive, 370 days
1284.5
TCGA-22-1000-01A
76 years, male, white, stage:Stage IB, dead, 454 days
1282.5
TCGA-56-8307-01A
55 years, female, white, stage:Stage IIB, alive, 818 days
1271.2
TCGA-60-2714-01A
66 years, female, white, stage:Stage IIB, alive, 1531 days
1268.7
TCGA-NC-A5HI-01A
68 years, female, white, stage:Stage IB, alive, 1743 days
1259.6
TCGA-98-A53C-01A
77 years, female, white, stage:Stage IA, alive, 822 days
1256.6
TCGA-98-7454-01A
73 years, male, white, stage:Stage IB, alive, 652 days
1255.2
TCGA-56-7223-01A
66 years, male, white, stage:Stage IIIA, dead, 442 days
1251.9
TCGA-18-4083-01A
63 years, male, white, stage:Stage IIB, dead, 188 days
1243.4
TCGA-77-8139-01A
72 years, male, stage:Stage IIB, alive, 3166 days
1238.7
TCGA-43-2581-01A
47 years, female, white, stage:Stage IIIA, alive, 1176 days
1221.2
TCGA-56-8626-01A
59 years, male, white, stage:Stage IA, dead, 302 days
1211.6
TCGA-56-8623-01A
71 years, male, white, stage:Stage IB, dead, 692 days
1208.6
TCGA-94-A5I6-01A
62 years, male, white, stage:Stage IIB, alive, 538 days
1204.8
TCGA-43-5668-01A
78 years, male, white, stage:Stage IIA, dead, 559 days
1202.2
TCGA-33-6738-01A
80 years, male, white, stage:Stage IIIA, alive, 1927 days
1199.1
TCGA-NC-A5HT-01A
69 years, male, white, stage:Stage IIIA, alive, 804 days
1198.3
TCGA-85-6560-01A
59 years, male, white, stage:Stage IIA, alive, 1259 days
1191.5
TCGA-63-7020-01A
male, stage:Stage IA, alive, 2133 days
1187.5
TCGA-60-2706-01A
58 years, male, white, stage:Stage IA, alive, 2820 days
1187.3
TCGA-60-2704-01A
73 years, male, white, stage:Stage IIB, dead, 1154 days
1179.3
TCGA-90-7964-01A
70 years, male, white, stage:Stage IB, alive, 428 days
1175.4
TCGA-56-8622-01A
68 years, male, white, stage:Stage IB, alive, 55 days
1168.1
TCGA-92-7341-01A
71 years, male, white, stage:Stage IB, alive, 106 days
1164.4
TCGA-56-8628-01A
78 years, male, white, stage:Stage IA, alive, 616 days
1163.0
TCGA-56-8309-01A
66 years, male, white, stage:Stage IA, alive, 428 days
1159.3
TCGA-77-A5GH-01A
81 years, male, stage:Stage IB, alive, 1182 days
1158.8
TCGA-85-A4JB-01A
74 years, male, white, stage:Stage IIB, alive, 942 days
1158.0
TCGA-85-8350-01A
61 years, male, white, stage:Stage IA, alive, 683 days
1156.2
TCGA-85-6175-01A
63 years, female, white, stage:Stage IIB, dead, 294 days
1155.6
TCGA-22-4591-01A
80 years, male, white, stage:Stage IIIA, dead, 623 days
1138.6
TCGA-39-5024-01A
65 years, female, white, stage:Stage IIIA, alive, 2510 days
1137.0
TCGA-77-6842-01A
79 years, male, white, stage:Stage IIB, dead, 899 days
1133.2
TCGA-21-1070-01A
60 years, female, black or african american, stage:Stage IIIA, alive, 3636 days
1131.8
TCGA-85-6561-01A
66 years, male, white, stage:Stage IB, alive, 1224 days
1130.7
TCGA-43-6143-01A
70 years, male, white, stage:Stage IB, alive, 699 days
1127.7
TCGA-77-8136-01A
74 years, female, stage:Stage IIB, dead, 1189 days
1127.4
TCGA-85-8049-01A
57 years, male, white, stage:Stage IB, alive, 579 days
1111.7
TCGA-85-8288-01A
70 years, male, white, stage:Stage IIA, dead, 402 days
1110.5
TCGA-39-5030-01A
81 years, female, asian, stage:Stage IIIA, dead, 59 days
1106.6
TCGA-85-A50Z-01A
57 years, male, white, stage:Stage IIA, alive, 493 days
1094.7
TCGA-21-1071-01A
67 years, male, white, stage:Stage IB, dead, 1426 days
1090.9
TCGA-43-A56U-01A
76 years, female, white, stage:Stage IA, alive, 432 days
1084.7
TCGA-43-6773-01A
76 years, male, white, stage:Stage IIB, dead, 116 days
1081.8
TCGA-77-A5G1-01A
75 years, male, stage:Stage IIIA, alive, 4026 days
1075.9
TCGA-77-6844-01A
74 years, male, white, stage:Stage IIIA, dead, 2284 days
1072.6
TCGA-66-2788-01A
56 years, male, stage:Stage IB, alive, 699 days
1070.7
TCGA-90-6837-01A
64 years, male, white, stage:Stage IIB, alive, 758 days
1061.6
TCGA-22-A5C4-01A
70 years, male, white, stage:Stage IIA, alive, 671 days
1052.0
TCGA-60-2712-01A
79 years, female, white, stage:Stage IIB, dead, 274 days
1050.5
TCGA-60-2721-01A
73 years, male, white, stage:Stage IB, alive, 983 days
1046.1
TCGA-85-8048-01A
62 years, male, white, stage:Stage IA, alive, 765 days
1019.0
TCGA-96-8169-01A
67 years, female, white, stage:Stage IA, alive, 557 days
1013.8
TCGA-63-A5MV-01A
69 years, male, stage:Stage IIA, alive, 1100 days
1013.3
TCGA-XC-AA0X-01A
77 years, female, black or african american, stage:Stage IA, dead, 6 days
1012.6
TCGA-98-A53B-01A
69 years, male, white, stage:Stage IB, dead, 61 days
1008.7
TCGA-85-A50M-01A
47 years, male, asian, stage:Stage IIA, dead, 826 days
1004.9
TCGA-22-1002-01A
69 years, male, white, stage:Stage IA, dead, 131 days
1002.8
TCGA-34-5928-01A
83 years, female, white, stage:Stage IIB, alive, 1196 days
998.1
TCGA-77-6843-01A
74 years, male, white, stage:Stage IIA, dead, 2224 days
980.7
TCGA-94-A4VJ-01A
71 years, female, white, stage:Stage IA, alive, 430 days
979.7
TCGA-68-A59I-01A
73 years, female, black or african american, stage:Stage IIIA, alive, 492 days
976.1
TCGA-43-8115-01A
72 years, female, white, stage:Stage IIA, alive, 407 days
969.2
TCGA-63-A5MN-01A
78 years, female, stage:Stage IIB, dead, 345 days
961.6
TCGA-66-2790-01A
72 years, male, stage:Stage IIB, alive, 699 days
957.8
TCGA-96-8170-01A
75 years, female, white, stage:Stage IIA, alive, 531 days
948.0
TCGA-96-7544-01A
83 years, male, white, stage:Stage IIB, dead, 2160 days
947.1
TCGA-56-6545-01A
77 years, female, white, stage:Stage IB, alive, 666 days
929.8
TCGA-O2-A52W-01A
63 years, male, black or african american, stage:Stage I, dead, 261 days
902.5
TCGA-85-8287-01A
72 years, male, white, stage:Stage IA, dead, 23 days
901.7
TCGA-56-5897-01A
74 years, male, white, stage:Stage IA, alive, 378 days
882.5
TCGA-77-8008-01A
68 years, male, stage:Stage IB, dead, 2639 days
850.2
TCGA-22-5478-01A
79 years, male, stage:Stage IB, dead, 24 days
846.5
TCGA-22-1005-01A
63 years, male, white, stage:Stage IA, dead, 1953 days
831.6
TCGA-21-1082-01A
61 years, male, white, stage:Stage IB, alive, 3644 days
797.3
TCGA-85-A513-01A
60 years, female, asian, stage:Stage IA, alive, 910 days
783.9
TCGA-O2-A5IB-01A
71 years, female, white, stage:Stage III, dead, 340 days
781.4
TCGA-39-5022-01A
76 years, male, white, stage:Stage IB, dead, 1679 days
776.3
TCGA-56-A5DS-01A
72 years, female, white, stage:Stage IB, alive, 8 days
768.2
TCGA-39-5034-01A
73 years, female, white, stage:Stage IIB, dead, 1107 days
705.3
TCGA-63-7022-01A
female, stage:Stage IA, alive, 2073 days
700.9
TCGA-43-6647-01A
69 years, female, white, stage:Stage IIB, alive, 757 days
684.8
TCGA-63-A5MG-01A
68 years, male, stage:Stage IB, alive, 2148 days
682.9
TCGA-22-1011-01A
73 years, male, white, stage:Stage IB, dead, 53 days
663.2
TCGA-21-1081-01A
69 years, male, white, stage:Stage IIB, dead, 284 days
662.6
TCGA-63-A5MS-01A
78 years, male, stage:Stage IB, alive, 2381 days
648.1
TCGA-18-3419-01A
73 years, male, stage:Stage IIB, alive, 2811 days
623.1
TCGA-90-7766-01A
66 years, female, white, stage:Stage IA, alive, 289 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.
RPL35 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.
0.11
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.
72%
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.
47%
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
1117.3
Number of samples
68
Samples
Sample
Description
TPM
L767
67 years, male, stage:Stage IA, alive, 1718 days
3079.1
L857
69 years, male, stage:Stage IB, dead, 226 days
2845.1
L592
61 years, male, stage:Stage IB, alive, 2368 days
2686.5
L457
46 years, female, stage:Stage IIA, alive, 2901 days
2614.8
L650
69 years, female, stage:Stage IB, dead, 986 days
2292.2
L852
64 years, male, stage:Stage IB, dead, 700 days
2002.5
L881
70 years, male, stage:Stage IB, alive, 1752 days
1965.1
L633
77 years, female, stage:Stage IA, alive, 2102 days
1944.6
L534
66 years, male, stage:Stage IIA, alive, 2693 days
1842.1
L559
72 years, male, stage:Stage IIB, alive, 2615 days
1826.4
L739
49 years, female, stage:Stage IIIA, dead, 352 days
1771.9
L496
77 years, male, stage:Stage IB, alive, 2761 days
1716.2
L447
67 years, male, stage:Stage IIB, alive, 3203 days
1692.0
L466
65 years, female, stage:Stage IIIA, dead, 412 days
1663.1
L818
67 years, male, stage:Stage IB, alive, 2480 days
1616.0
L464
66 years, male, stage:Stage IB, dead, 1935 days
1576.4
L488
61 years, female, stage:Stage IIA, alive, 2993 days
1540.3
L744
75 years, male, stage:Stage IA, alive, 1614 days
1470.1
L483
65 years, male, stage:Stage IB, dead, 77 days
1380.9
L539
78 years, male, stage:Stage IB, dead, 370 days
1351.5
L604
67 years, male, stage:Stage IIA, dead, 286 days
1337.5
L856
69 years, male, stage:Stage IA, dead, 1465 days
1326.5
L563
61 years, female, stage:Stage IIB, dead, 1216 days
1314.3
L529
79 years, female, stage:Stage IA, alive, 2775 days
1257.1
L420
57 years, female, stage:Stage IIB, dead, 295 days
1240.2
L864
66 years, female, stage:Stage IA, alive, 2192 days
1220.6
L642
67 years, male, stage:Stage IB, dead, 1167 days
1165.6
L568
77 years, female, stage:Stage IIB, dead, 71 days
1141.8
L753
61 years, male, stage:Stage IIA, alive, 1705 days
1090.0
L723
67 years, male, stage:Stage IIA, dead, 433 days
1075.4
L858
69 years, female, stage:Stage IIB, dead, 558 days
979.7
L756
72 years, male, stage:Stage IB, alive, 1796 days
964.5
L712
61 years, male, stage:Stage IA, alive, 1698 days
959.3
L658
65 years, female, stage:Stage IIB, alive, 2083 days
941.5
L824
70 years, male, stage:Stage IA, dead, 665 days
939.5
L661
66 years, male, stage:Stage IA, dead, 1123 days
919.9
L886
71 years, male, stage:Stage IB, dead, 1932 days
919.7
L444
74 years, female, stage:Stage IIB, alive, 3337 days
869.3
L644
67 years, male, stage:Stage IA, dead, 282 days
858.1
L459
75 years, male, stage:Stage IIA, alive, 3181 days
798.7
L788
54 years, female, stage:Stage IA, alive, 3385 days
798.6
L747
74 years, female, stage:Stage IA, dead, 1112 days
778.0
L854
62 years, female, stage:Stage IB, alive, 2256 days
702.3
L608
73 years, male, stage:Stage IA, alive, 2350 days
701.4
L685
71 years, female, stage:Stage IIB, alive, 1944 days
697.4
L820
73 years, female, stage:Stage IA, alive, 2405 days
682.6
L586
67 years, male, stage:Stage IIA, dead, 784 days
679.0
L490
58 years, male, stage:Stage IA, dead, 716 days
662.1
L655
62 years, male, stage:Stage IIA, dead, 1603 days
658.4
L736
67 years, male, stage:Stage IA, dead, 1195 days
650.0
L456
48 years, male, stage:Stage IIA, dead, 1660 days
644.3
L468
53 years, male, stage:Stage IB, alive, 3004 days
629.3
L472
71 years, male, stage:Stage IB, dead, 423 days
623.4
L755
82 years, male, stage:Stage IIA, dead, 227 days
590.9
L715
69 years, female, stage:Stage IIIA, dead, 150 days
564.1
L860
77 years, male, stage:Stage IA, alive, 2056 days
562.1
L758
84 years, male, stage:Stage IA, dead, 1562 days
554.3
L719
63 years, male, stage:Stage IB, alive, 1615 days
524.5
L572
58 years, male, stage:Stage IA, alive, 2532 days
500.7
L470
78 years, female, stage:Stage IB, dead, 1774 days
476.1
L751
59 years, female, stage:Stage IIIA, alive, 1600 days
473.0
L452
62 years, male, stage:Stage IIIA, dead, 3115 days
470.7
L406
64 years, male, stage:Stage IA, alive, 3057 days
412.3
L817
76 years, female, stage:Stage IIIA, dead, 1279 days
393.6
L442
75 years, female, stage:Stage IB, dead, 2433 days
378.9
L652
82 years, male, stage:Stage IA, dead, 5 days
376.9
L760
80 years, male, stage:Stage IIA, alive, 1895 days
320.4
L884
71 years, male, stage:Stage IIA, alive, 1627 days
275.7
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LUNG ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
213
Samples
Sample ID
Sample type
nRPX
CPT0118340003
Tumor
1.2
CPT0090340003
Tumor
1.1
CPT0113210003
Tumor
1.1
CPT0125810003
Tumor
1.1
CPT0069360003
Tumor
1.0
CPT0104750003
Tumor
0.9
CPT0068800003
Tumor
0.9
CPT0098130003
Tumor
0.8
CPT0001060010
Tumor
0.7
CPT0067070003
Tumor
0.7
CPT0089340003
Tumor
0.7
CPT0105940003
Tumor
0.7
CPT0090170004
Tumor
0.7
CPT0090860003
Tumor
0.6
CPT0092250003
Normal
0.6
CPT0091860003
Tumor
0.6
CPT0147480004
Tumor
0.6
CPT0001660013
Tumor
0.6
CPT0066780003
Tumor
0.6
CPT0147600003
Normal
0.6
CPT0105740003
Normal
0.5
CPT0147380004
Tumor
0.5
CPT0104970003
Tumor
0.5
CPT0105630003
Tumor
0.5
CPT0118200003
Tumor
0.5
CPT0063810003
Tumor
0.5
CPT0148000003
Normal
0.5
CPT0063750003
Normal
0.5
CPT0083140003
Normal
0.4
CPT0146700003
Normal
0.4
CPT0067250003
Tumor
0.4
CPT0112060003
Tumor
0.4
CPT0097580003
Tumor
0.4
CPT0148300003
Normal
0.3
CPT0147000003
Normal
0.3
CPT0114690003
Normal
0.3
CPT0067450003
Tumor
0.3
CPT0109740004
Tumor
0.3
CPT0105680003
Normal
0.3
CPT0114840003
Tumor
0.3
CPT0086750003
Tumor
0.3
CPT0001590003
Normal
0.3
CPT0105710003
Tumor
0.3
CPT0147900003
Normal
0.3
CPT0109710003
Normal
0.3
CPT0063840003
Normal
0.3
CPT0068100003
Tumor
0.3
CPT0109720004
Tumor
0.3
CPT0110860004
Tumor
0.3
CPT0147500003
Normal
0.3
CPT0070060003
Tumor
0.3
CPT0104650003
Normal
0.2
CPT0118600003
Normal
0.2
CPT0104760003
Normal
0.2
CPT0105010004
Normal
0.2
CPT0118620003
Tumor
0.2
CPT0118890003
Normal
0.2
CPT0015410003
Tumor
0.2
CPT0067470004
Normal
0.2
CPT0069700003
Tumor
0.2
CPT0146780004
Tumor
0.2
CPT0089360003
Normal
0.2
CPT0090700003
Tumor
0.2
CPT0146980004
Tumor
0.2
CPT0105230003
Tumor
0.2
CPT0105510003
Tumor
0.2
CPT0069370003
Normal
0.2
CPT0084140003
Tumor
0.2
CPT0118810003
Tumor
0.2
CPT0086770003
Normal
0.2
CPT0111590003
Normal
0.2
CPT0013600003
Tumor
0.1
CPT0086310003
Tumor
0.1
CPT0092240003
Tumor
0.1
CPT0008410003
Tumor
0.1
CPT0114010003
Normal
0.1
CPT0148100003
Normal
0.1
CPT0001960003
Tumor
0.1
CPT0013630003
Normal
0.1
CPT0000930003
Normal
0.1
CPT0147100003
Normal
0.1
CPT0118360003
Normal
0.1
CPT0083780003
Tumor
0.1
CPT0090200003
Normal
0.1
CPT0082770003
Normal
0.1
CPT0109760003
Normal
0.1
CPT0090720003
Normal
0.1
CPT0113220003
Normal
0.1
CPT0147400003
Normal
0.1
CPT0105060003
Tumor
0.1
CPT0086320003
Normal
0.1
CPT0104630003
Tumor
0.1
CPT0148200003
Normal
0.1
CPT0118570003
Tumor
0.1
CPT0105600003
Tumor
0.1
CPT0092930003
Tumor
0.0
CPT0066810003
Normal
0.0
CPT0001970003
Normal
0.0
CPT0091240003
Tumor
0.0
CPT0067110003
Normal
0.0
CPT0109850003
Normal
0.0
CPT0118240003
Normal
0.0
CPT0117970003
Tumor
0.0
CPT0011710004
Tumor
0.0
CPT0068830003
Normal
0.0
CPT0147080004
Tumor
0.0
CPT0063730003
Tumor
0.0
CPT0014930003
Normal
0.0
CPT0090570004
Tumor
N/A
CPT0067940003
Tumor
0.0
CPT0105370004
Normal
0.0
CPT0102450003
Tumor
0.0
CPT0118160003
Tumor
0.0
CPT0109700003
Normal
0.0
CPT0105980003
Normal
0.0
CPT0015420003
Normal
0.0
CPT0008450003
Tumor
0.0
CPT0014860003
Tumor
0.0
CPT0090600003
Normal
0.0
CPT0069550003
Normal
0.0
CPT0148180004
Tumor
0.0
CPT0067290003
Normal
0.0
CPT0114880003
Normal
-0.1
CPT0091870003
Normal
-0.1
CPT0079830003
Tumor
-0.1
CPT0146800003
Normal
-0.1
CPT0111480003
Normal
-0.1
CPT0062810003
Normal
-0.1
CPT0097600003
Normal
-0.1
CPT0066890003
Tumor
-0.1
CPT0014290003
Normal
-0.1
CPT0068130003
Normal
-0.1
CPT0105610003
Normal
-0.1
CPT0001390003
Normal
-0.1
CPT0068650003
Normal
-0.1
CPT0011750003
Normal
-0.1
CPT0105550003
Normal
-0.1
CPT0011930003
Normal
-0.1
CPT0146600003
Normal
-0.1
CPT0092940003
Normal
-0.1
CPT0114660004
Tumor
-0.1
CPT0109680004
Tumor
-0.1
CPT0084170003
Normal
-0.2
CPT0001070003
Normal
-0.2
CPT0118650003
Normal
-0.2
CPT0102480003
Normal
-0.2
CPT0014260003
Tumor
-0.2
CPT0105250003
Normal
-0.2
CPT0067950003
Normal
-0.2
CPT0070080003
Normal
-0.2
CPT0069520003
Tumor
-0.2
CPT0109830004
Tumor
-0.2
CPT0082740004
Tumor
-0.2
CPT0013910003
Normal
-0.2
CPT0105330003
Tumor
-0.2
CPT0051690004
Tumor
-0.2
CPT0105190003
Normal
-0.2
CPT0110890003
Normal
-0.3
CPT0068610003
Tumor
-0.3
CPT0023310003
Tumor
-0.3
CPT0083420003
Normal
-0.3
CPT0147980004
Tumor
-0.3
CPT0106110003
Tumor
-0.3
CPT0118880003
Tumor
-0.3
CPT0115070003
Tumor
-0.3
CPT0090370003
Normal
-0.3
CPT0105270003
Tumor
-0.3
CPT0091260003
Normal
-0.4
CPT0067770003
Normal
-0.4
CPT0079850003
Normal
-0.4
CPT0001800013
Tumor
-0.4
CPT0112080003
Normal
-0.4
CPT0055100004
Tumor
-0.4
CPT0082890003
Normal
-0.4
CPT0001380003
Tumor
-0.4
CPT0083100003
Tumor
-0.4
CPT0000920017
Tumor
-0.4
CPT0023320003
Normal
-0.4
CPT0110980004
Tumor
-0.4
CPT0052940004
Tumor
-0.4
CPT0118010003
Normal
-0.4
CPT0013880003
Tumor
-0.5
CPT0118180003
Normal
-0.5
CPT0115090003
Normal
-0.5
CPT0053040004
Tumor
-0.5
CPT0001690003
Normal
-0.5
CPT0092530003
Tumor
-0.6
CPT0052170004
Tumor
-0.6
CPT0118830003
Normal
-0.6
CPT0147880004
Tumor
-0.6
CPT0111300003
Tumor
-0.7
CPT0066930003
Normal
-0.7
CPT0008420003
Normal
-0.7
CPT0146680004
Tumor
-0.7
CPT0146880004
Tumor
-0.7
CPT0083390004
Tumor
-0.7
CPT0001580009
Tumor
-0.7
CPT0125830003
Normal
-0.7
CPT0067620003
Tumor
-0.7
CPT0106100003
Normal
-0.8
CPT0021490003
Normal
-0.9
CPT0083810003
Normal
-0.9
CPT0001810003
Normal
-0.9
CPT0082850004
Tumor
-1.0
CPT0090900004
Normal
-1.0
CPT0148280004
Tumor
-1.0
CPT0011910004
Tumor
-1.0
CPT0021450003
Tumor
-1.1
CPT0069720003
Normal
-1.3
CPT0113990003
Tumor
-1.4
CPT0147580004
Tumor
-1.5
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
CPT0091820003
Tumor
1.0
CPT0237200004
Tumor
1.0
CPT0218310003
Normal
0.8
CPT0236420003
Tumor
0.8
CPT0112600003
Normal
0.8
CPT0147680004
Tumor
0.7
CPT0126470003
Normal
0.7
CPT0146380004
Tumor
0.7
CPT0218280003
Tumor
0.7
CPT0104380003
Normal
0.7
CPT0112660003
Normal
0.6
CPT0147700003
Normal
0.6
CPT0209040003
Normal
0.5
CPT0208770003
Tumor
0.5
CPT0223820003
Normal
0.5
CPT0146480004
Tumor
0.5
CPT0208780003
Normal
0.5
CPT0202220004
Normal
0.5
CPT0146400003
Normal
0.5
CPT0221660003
Normal
0.5
CPT0237710003
Normal
0.5
CPT0146500003
Normal
0.4
CPT0175120003
Tumor
0.4
CPT0197090003
Tumor
0.4
CPT0063440003
Normal
0.4
CPT0197860003
Normal
0.4
CPT0238130003
Normal
0.4
CPT0112650003
Tumor
0.4
CPT0112540003
Tumor
0.4
CPT0237060004
Tumor
0.4
CPT0237410004
Tumor
0.4
CPT0115830003
Tumor
0.4
CPT0010050003
Tumor
0.3
CPT0236430003
Normal
0.3
CPT0202740003
Normal
0.3
CPT0186130003
Tumor
0.3
CPT0233640003
Normal
0.3
CPT0101130003
Tumor
0.3
CPT0128890003
Tumor
0.3
CPT0183270003
Normal
0.3
CPT0191860003
Tumor
0.3
CPT0130030003
Tumor
0.3
CPT0079100003
Tumor
0.3
CPT0023500003
Normal
0.3
CPT0197380003
Normal
0.3
CPT0087210003
Normal
0.3
CPT0112580003
Tumor
0.3
CPT0007760003
Normal
0.3
CPT0202530004
Tumor
0.2
CPT0245790003
Normal
0.2
CPT0245780003
Tumor
0.2
CPT0001030003
Normal
0.2
CPT0105420003
Tumor
0.2
CPT0102840003
Normal
0.2
CPT0237080003
Normal
0.2
CPT0126760003
Normal
0.2
CPT0007740003
Tumor
0.2
CPT0233600003
Tumor
0.2
CPT0064040003
Tumor
0.2
CPT0126670003
Tumor
0.2
CPT0175260003
Tumor
0.2
CPT0079050003
Tumor
0.2
CPT0202720003
Tumor
0.2
CPT0112550003
Normal
0.2
CPT0237210003
Normal
0.2
CPT0128900003
Normal
0.2
CPT0202170003
Tumor
0.1
CPT0083980003
Tumor
0.1
CPT0191710003
Tumor
0.1
CPT0001020003
Tumor
0.1
CPT0186210003
Normal
0.1
CPT0191750003
Normal
0.1
CPT0126810003
Tumor
0.1
CPT0126740003
Tumor
0.1
CPT0111000004
Normal
0.1
CPT0010060003
Normal
0.1
CPT0227420003
Normal
0.1
CPT0126530003
Tumor
0.1
CPT0098800003
Normal
0.1
CPT0237550004
Tumor
0.1
CPT0202400004
Normal
0.1
CPT0192540004
Tumor
0.1
CPT0217490003
Normal
0.1
CPT0126390003
Tumor
0.1
CPT0079060003
Normal
0.1
CPT0237570003
Normal
0.1
CPT0175410003
Normal
0.1
CPT0223790003
Tumor
0.1
CPT0087190003
Tumor
0.1
CPT0195520003
Normal
0.1
CPT0245840003
Normal
0.0
CPT0136660003
Normal
0.0
CPT0245830003
Tumor
0.0
CPT0197170003
Normal
0.0
CPT0232690003
Normal
0.0
CPT0234930004
Tumor
0.0
CPT0130440004
Normal
0.0
CPT0241210003
Normal
0.0
CPT0237780003
Normal
0.0
CPT0237690004
Tumor
0.0
CPT0191930003
Normal
0.0
CPT0196810003
Tumor
0.0
CPT0175390003
Tumor
0.0
CPT0079110003
Normal
0.0
CPT0204800003
Tumor
0.0
CPT0233320003
Tumor
0.0
CPT0086260003
Tumor
-0.1
CPT0237970004
Tumor
-0.1
CPT0083990003
Normal
-0.1
CPT0237430003
Normal
-0.1
CPT0197150003
Tumor
-0.1
CPT0126400003
Normal
-0.1
CPT0091610003
Tumor
-0.1
CPT0063430003
Tumor
-0.1
CPT0091050003
Tumor
-0.1
CPT0130410003
Tumor
-0.1
CPT0234580003
Normal
-0.1
CPT0136640003
Tumor
-0.1
CPT0105430003
Normal
-0.1
CPT0111150004
Tumor
-0.1
CPT0204660003
Normal
-0.1
CPT0221650003
Tumor
-0.1
CPT0205000003
Normal
-0.1
CPT0209490003
Tumor
-0.1
CPT0091090003
Normal
-0.1
CPT0186180003
Tumor
-0.1
CPT0190550003
Tumor
-0.2
CPT0204990003
Tumor
-0.2
CPT0104950003
Normal
-0.2
CPT0219390003
Normal
-0.2
CPT0104930003
Tumor
-0.2
CPT0219360003
Tumor
-0.2
CPT0108560003
Tumor
-0.2
CPT0197480003
Tumor
-0.2
CPT0175160003
Normal
-0.2
CPT0091620003
Normal
-0.2
CPT0197520003
Normal
-0.2
CPT0086270003
Normal
-0.2
CPT0221200003
Tumor
-0.2
CPT0108600003
Normal
-0.2
CPT0102790003
Tumor
-0.2
CPT0241170003
Tumor
-0.2
CPT0225380003
Tumor
-0.2
CPT0187370003
Tumor
-0.2
CPT0245880003
Tumor
-0.3
CPT0227400003
Tumor
-0.3
CPT0234820003
Normal
-0.3
CPT0090440003
Tumor
-0.3
CPT0175270003
Normal
-0.3
CPT0115860003
Normal
-0.3
CPT0130270003
Tumor
-0.3
CPT0204820003
Normal
-0.3
CPT0245890003
Normal
-0.3
CPT0098770003
Tumor
-0.3
CPT0147180004
Tumor
-0.3
CPT0023470003
Tumor
-0.3
CPT0069890003
Tumor
-0.3
CPT0232670003
Tumor
-0.3
CPT0221220003
Normal
-0.3
CPT0112730003
Normal
-0.3
CPT0234790003
Tumor
-0.3
CPT0237990003
Normal
-0.4
CPT0112720003
Tumor
-0.4
CPT0068280003
Tumor
-0.4
CPT0187380003
Normal
-0.4
CPT0130070003
Normal
-0.4
CPT0222740003
Normal
-0.4
CPT0238110004
Tumor
-0.4
CPT0147200003
Normal
-0.4
CPT0209510003
Normal
-0.4
CPT0233160003
Normal
-0.4
CPT0237760003
Tumor
-0.4
CPT0183250004
Tumor
-0.4
CPT0196820003
Normal
-0.4
CPT0233330003
Normal
-0.4
CPT0217420003
Tumor
-0.4
CPT0175560003
Tumor
-0.4
CPT0227070003
Normal
-0.5
CPT0233120003
Tumor
-0.5
CPT0126830003
Normal
-0.5
CPT0202580004
Normal
-0.5
CPT0063500003
Normal
-0.5
CPT0192590004
Normal
-0.5
CPT0207210003
Tumor
-0.5
CPT0117720003
Tumor
-0.5
CPT0202040003
Normal
-0.5
CPT0197100003
Normal
-0.5
CPT0225470003
Normal
-0.6
CPT0234560003
Tumor
-0.6
CPT0130310003
Normal
-0.6
CPT0063480003
Tumor
-0.6
CPT0197210003
Tumor
-0.6
CPT0064050003
Normal
-0.6
CPT0089880003
Tumor
-0.6
CPT0207250003
Normal
-0.6
CPT0209020004
Tumor
-0.7
CPT0202020008
Tumor
-0.7
CPT0123370003
Normal
-0.7
CPT0069900003
Normal
-0.8
CPT0104360003
Tumor
-0.9
CPT0227020003
Tumor
-0.9
CPT0186140003
Normal
-0.9
CPT0126450003
Tumor
-1.0
CPT0202350004
Tumor
-1.0
CPT0204600003
Tumor
-1.0
CPT0222730003
Tumor
-1.0
CPT0197740003
Tumor
-1.1
CPT0234950004
Normal
-1.2
CPT0123350003
Tumor
-1.2
CPT0195510003
Tumor
-1.2
CPT0068320003
Normal
-1.2
CPT0117770003
Normal
-1.3
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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.