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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.
VPS52 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
8.2
Number of samples
497
Samples
Sample
Description
TPM
TCGA-97-8179-01A
72 years, male, white, stage:Stage IA, alive, 435 days
50.9
TCGA-O1-A52J-01A
74 years, female, white, stage:Stage IA, dead, 1798 days
43.3
TCGA-50-5932-01A
75 years, male, white, stage:Stage IIB, dead, 1235 days
42.0
TCGA-69-7764-01A
75 years, male, white, stage:Stage IA, alive, 414 days
40.0
TCGA-86-8358-01A
44 years, male, white, stage:Stage IB, alive, 653 days
37.0
TCGA-55-7994-01A
81 years, male, white, stage:Stage IIB, alive, 603 days
34.7
TCGA-95-7947-01A
67 years, male, white, stage:Stage IA, alive, 477 days
34.4
TCGA-05-4396-01A
76 years, male, stage:Stage IIIB, dead, 303 days
32.7
TCGA-05-4384-01A
66 years, male, stage:Stage IIIA, alive, 426 days
31.9
TCGA-MP-A5C7-01A
76 years, female, white, stage:Stage IB, alive, 2248 days
31.0
TCGA-95-7948-01A
42 years, female, white, stage:Stage IB, alive, 476 days
30.8
TCGA-91-6840-01A
59 years, female, white, stage:Stage IA, alive, 372 days
30.5
TCGA-62-8399-01A
62 years, male, white, stage:Stage IIIA, alive, 2696 days
30.3
TCGA-78-7156-01A
62 years, male, white, stage:Stage IV, dead, 976 days
29.4
TCGA-73-4670-01A
69 years, female, white, stage:Stage IV, alive, 131 days
29.2
TCGA-44-7671-01A
64 years, male, black or african american, stage:Stage IB, alive, 889 days
29.1
TCGA-91-8499-01A
76 years, female, white, stage:Stage IA, alive, 36 days
28.8
TCGA-75-6206-01A
male, stage:Stage IB, alive, 2590 days
27.5
TCGA-50-6591-01A
63 years, female, white, stage:Stage IV, dead, 119 days
26.9
TCGA-50-5944-01A
69 years, female, white, stage:Stage IA, alive, 1750 days
26.3
TCGA-93-A4JP-01A
64 years, male, asian, stage:Stage IV, alive, 578 days
25.9
TCGA-55-8085-01A
64 years, male, white, stage:Stage IA, alive, 904 days
25.4
TCGA-55-6972-01A
72 years, male, white, stage:Stage IB, dead, 1632 days
25.0
TCGA-55-8507-01A
53 years, male, white, stage:Stage IA, alive, 418 days
24.7
TCGA-62-8395-01A
80 years, female, white, stage:Stage IIB, alive, 1216 days
24.6
TCGA-91-6828-01A
70 years, male, white, stage:Stage IA, alive, 323 days
24.4
TCGA-73-4662-01A
65 years, female, white, stage:Stage IA, alive, 2515 days
24.4
TCGA-44-8120-01A
58 years, male, black or african american, stage:Stage IB, alive, 260 days
24.3
TCGA-50-5933-01A
72 years, male, white, stage:Stage IIIB, dead, 2393 days
24.3
TCGA-69-7979-01A
71 years, female, white, stage:Stage IB, alive, 408 days
24.2
TCGA-50-5931-01A
75 years, female, white, stage:Stage IB, dead, 434 days
23.8
TCGA-44-7667-01A
49 years, female, white, stage:Stage IIB, alive, 1097 days
23.2
TCGA-86-7955-01A
62 years, male, white, stage:Stage IB, alive, 1072 days
23.1
TCGA-78-7158-01A
59 years, female, white, stage:Stage IIIB, dead, 179 days
22.9
TCGA-78-7542-01A
56 years, male, white, stage:Stage IB, dead, 321 days
22.5
TCGA-J2-8192-01A
65 years, female, white, stage:Stage IIA, alive, 739 days
21.1
TCGA-55-7995-01A
73 years, female, white, stage:Stage IA, alive, 889 days
20.9
TCGA-55-7283-01A
76 years, female, white, stage:Stage IIIA, alive, 609 days
20.8
TCGA-MP-A4SV-01A
67 years, male, stage:Stage IB, dead, 2620 days
20.8
TCGA-38-4630-01A
75 years, female, white, stage:Stage IB, dead, 1073 days
20.7
TCGA-44-7669-01A
59 years, male, black or african american, stage:Stage IIA, dead, 574 days
20.7
TCGA-78-8640-01A
59 years, male, stage:Stage IIA, alive, 7062 days
20.7
TCGA-62-A46V-01A
78 years, female, white, stage:Stage IB, alive, 2199 days
20.5
TCGA-50-5946-01A
62 years, male, white, stage:Stage IA, alive, 1617 days
20.2
TCGA-55-1594-01A
68 years, male, white, stage:Stage IIIA, alive, 1178 days
20.0
TCGA-86-8075-01A
66 years, female, white, stage:Stage IB, dead, 694 days
19.8
TCGA-55-8207-01A
73 years, male, white, stage:Stage IB, alive, 977 days
19.7
TCGA-05-4433-01A
82 years, male, stage:Stage IB, alive, 730 days
19.6
TCGA-55-6543-01A
60 years, female, white, stage:Stage IA, alive, 435 days
19.6
TCGA-91-6831-01A
66 years, male, white, stage:Stage IB, alive, 310 days
19.2
TCGA-73-4668-01A
66 years, female, american indian or alaska native, stage:Stage IIB, alive, 467 days
18.9
TCGA-44-6779-01A
50 years, female, white, stage:Stage IIB, dead, 500 days
18.7
TCGA-91-6847-01A
62 years, female, white, stage:Stage IB, alive, 842 days
18.7
TCGA-L9-A7SV-01A
69 years, male, black or african american, stage:Stage IIA, alive, 565 days
18.6
TCGA-55-7570-01A
60 years, male, black or african american, stage:Stage IA, alive, 824 days
18.5
TCGA-55-8505-01A
62 years, male, white, stage:Stage IIIA, alive, 440 days
18.1
TCGA-91-6835-01A
81 years, female, white, stage:Stage IA, alive, 79 days
18.0
TCGA-50-7109-01A
60 years, male, white, stage:Stage IA, dead, 308 days
17.9
TCGA-MP-A4T8-01A
68 years, male, stage:Stage IIIA, dead, 161 days
17.9
TCGA-49-4490-01A
45 years, female, white, stage:Stage IIIA, dead, 385 days
17.6
TCGA-55-1592-01A
65 years, male, white, stage:Stage IA, dead, 701 days
17.4
TCGA-78-7161-01A
69 years, female, white, stage:Stage IIB, dead, 291 days
17.3
TCGA-44-6147-01A
67 years, female, white, stage:Stage IA, alive, 845 days
17.2
TCGA-97-7553-01A
58 years, female, white, stage:Stage IA, alive, 1870 days
17.2
TCGA-62-A46S-01A
73 years, male, white, stage:Stage IB, dead, 1653 days
17.1
TCGA-62-8398-01A
55 years, male, white, stage:Stage IIIA, dead, 444 days
17.0
TCGA-95-7039-01A
54 years, female, white, stage:Stage IIB, alive, 1272 days
17.0
TCGA-50-6595-01A
74 years, female, white, stage:Stage IIIA, dead, 189 days
16.9
TCGA-95-A4VN-01A
62 years, female, white, stage:Stage IIA, alive, 553 days
16.9
TCGA-05-4397-01A
65 years, male, stage:Stage IIB, dead, 731 days
16.9
TCGA-55-6986-01A
74 years, female, white, stage:Stage IB, alive, 3261 days
16.8
TCGA-55-A4DG-01A
71 years, male, white, stage:Stage IA, alive, 608 days
16.8
TCGA-78-7163-01A
60 years, male, white, stage:Stage IB, alive, 7248 days
16.6
TCGA-05-4424-01A
70 years, male, stage:Stage IIB, alive, 913 days
16.6
TCGA-49-6743-01A
81 years, female, white, stage:Stage IIIA, alive, 1621 days
16.5
TCGA-05-4250-01A
79 years, female, stage:Stage IIIA, dead, 121 days
16.4
TCGA-55-A4DF-01A
88 years, male, white, stage:Stage IA, dead, 440 days
16.3
TCGA-55-A48X-01A
63 years, female, white, stage:Stage IIA, alive, 689 days
16.2
TCGA-55-6975-01A
61 years, male, white, stage:Stage IIB, dead, 118 days
16.1
TCGA-44-8117-01A
54 years, female, white, stage:Stage IB, alive, 385 days
16.0
TCGA-50-6593-01A
49 years, female, white, stage:Stage IIIA, dead, 336 days
15.8
TCGA-86-8278-01A
63 years, female, white, stage:Stage IIB, alive, 944 days
15.6
TCGA-75-6214-01A
female, stage:Stage IIIA, dead, 1115 days
15.5
TCGA-55-8205-01A
76 years, female, white, stage:Stage IIA, alive, 599 days
15.5
TCGA-67-6216-01A
57 years, female, white, stage:Stage IA, alive, 141 days
15.5
TCGA-86-8055-01A
79 years, male, white, stage:Stage IIA, dead, 124 days
15.4
TCGA-73-4677-01A
74 years, male, white, stage:'--, dead, 38 days
15.3
TCGA-55-7911-01A
70 years, female, white, stage:Stage IA, alive, 537 days
15.3
TCGA-55-8206-01A
56 years, male, white, stage:Stage IA, alive, 888 days
15.1
TCGA-78-7143-01A
62 years, female, white, stage:Stage IB, dead, 4961 days
15.0
TCGA-97-7554-01A
83 years, female, white, stage:Stage IIIA, alive, 775 days
15.0
TCGA-44-5645-01A
61 years, female, black or african american, stage:Stage IA, alive, 852 days
15.0
TCGA-75-7025-01A
male, stage:Stage IB, alive, 3305 days
14.9
TCGA-55-8096-01A
67 years, female, white, stage:Stage IB, dead, 719 days
14.8
TCGA-NJ-A4YG-01A
65 years, male, white, stage:Stage IB, alive, 2261 days
14.8
TCGA-55-8097-01A
60 years, female, white, stage:Stage IA, alive, 476 days
14.7
TCGA-86-8668-01A
61 years, female, white, stage:Stage IA, alive, 423 days
14.5
TCGA-55-1596-01A
55 years, male, asian, stage:Stage IIB, alive, 2065 days
14.5
TCGA-78-7167-01A
77 years, male, white, stage:Stage IV, dead, 2681 days
14.5
TCGA-38-6178-01A
70 years, female, white, stage:Stage IIIA, alive, 448 days
14.4
TCGA-86-A456-01A
78 years, female, asian, stage:Stage IA, alive, 896 days
14.3
TCGA-50-5935-01A
86 years, female, white, stage:Stage IA, dead, 653 days
14.3
TCGA-50-6594-01A
79 years, female, black or african american, stage:Stage IIIA, dead, 370 days
14.2
TCGA-78-7149-01A
71 years, male, white, stage:Stage IIIB, alive, 3940 days
14.2
TCGA-78-7540-01A
66 years, female, white, stage:Stage IB, dead, 1197 days
14.2
TCGA-55-8087-01A
59 years, female, white, stage:Stage IB, alive, 462 days
14.2
TCGA-05-5423-01A
65 years, male, stage:Stage IIB, alive, 151 days
14.1
TCGA-05-4422-01A
68 years, male, stage:Stage IB, alive, 365 days
13.9
TCGA-95-7562-01A
71 years, male, black or african american, stage:Stage IIA, dead, 87 days
13.9
TCGA-05-4415-01A
57 years, male, stage:Stage IIIB, dead, 91 days
13.6
TCGA-86-7711-01A
70 years, male, white, stage:Stage IIA, dead, 1046 days
13.6
TCGA-73-4659-01A
66 years, male, white, stage:Stage IIIA, dead, 711 days
13.6
TCGA-69-7763-01A
69 years, male, white, stage:Stage IA, alive, 690 days
13.6
TCGA-62-A46Y-01A
70 years, female, white, stage:Stage IIIA, dead, 414 days
13.6
TCGA-55-8302-01A
54 years, male, white, stage:Stage IB, alive, 478 days
13.6
TCGA-44-7661-01A
69 years, female, white, stage:Stage IB, dead, 557 days
13.4
TCGA-44-6776-01A
60 years, female, white, stage:Stage IA, alive, 2616 days
13.3
TCGA-MN-A4N5-01A
63 years, male, white, stage:Stage IA, alive, 84 days
13.3
TCGA-78-7220-01A
53 years, female, white, stage:Stage IIIA, dead, 807 days
13.3
TCGA-64-5775-01A
71 years, male, white, stage:Stage IIIA, dead, 62 days
13.2
TCGA-86-7953-01A
69 years, female, white, stage:Stage IA, alive, 997 days
13.2
TCGA-62-A470-01A
84 years, male, white, stage:Stage IB, dead, 1194 days
13.2
TCGA-73-4676-01A
45 years, male, white, stage:Stage IIA, dead, 281 days
13.0
TCGA-50-8460-01A
74 years, male, white, stage:Stage IA, alive, 829 days
12.8
TCGA-95-7043-01A
63 years, female, white, stage:Stage IA, dead, 503 days
12.8
TCGA-05-4427-01A
65 years, female, stage:Stage IIB, alive, 791 days
12.8
TCGA-93-7348-01A
75 years, female, white, stage:Stage IA, alive, 531 days
12.7
TCGA-73-7499-01A
81 years, female, white, stage:Stage IB, dead, 1531 days
12.7
TCGA-78-8655-01A
77 years, female, stage:Stage IA, alive, 2360 days
12.5
TCGA-97-7546-01A
76 years, female, white, stage:Stage IA, alive, 1285 days
12.4
TCGA-55-A57B-01A
80 years, female, black or african american, stage:Stage IA, alive, 546 days
12.4
TCGA-78-7159-01A
60 years, female, white, stage:Stage IA, alive, 1974 days
12.4
TCGA-MP-A4SY-01A
61 years, male, white, stage:Stage IIB, dead, 1501 days
12.4
TCGA-55-6981-01A
53 years, female, white, stage:Stage IIIA, dead, 1379 days
12.4
TCGA-78-7160-01A
61 years, male, white, stage:Stage IV, dead, 697 days
12.3
TCGA-93-A4JQ-01A
49 years, male, white, stage:Stage IA, alive, 526 days
12.2
TCGA-50-5942-01A
67 years, female, white, stage:Stage IA, alive, 1847 days
12.2
TCGA-49-4501-01A
67 years, female, white, stage:Stage IB, dead, 1421 days
12.2
TCGA-49-4486-01A
72 years, male, white, stage:Stage IA, dead, 2318 days
12.2
TCGA-93-8067-01A
77 years, male, asian, stage:Stage IB, alive, 186 days
12.2
TCGA-97-A4LX-01A
81 years, male, white, stage:Stage IB, alive, 614 days
12.2
TCGA-80-5608-01A
female, stage:Stage IA, alive, 2832 days
12.1
TCGA-91-6830-01A
65 years, female, white, stage:Stage IIA, alive, 60 days
12.1
TCGA-55-8299-01A
61 years, female, white, stage:Stage IA, dead, 469 days
12.0
TCGA-44-6148-01A
60 years, male, white, stage:Stage IA, alive, 704 days
12.0
TCGA-05-5715-01A
69 years, female, stage:Stage IB, alive, 62 days
11.9
TCGA-55-6984-01A
71 years, female, white, stage:Stage IIB, dead, 760 days
11.9
TCGA-67-3774-01A
73 years, female, white, stage:Stage IB, alive, 385 days
11.9
TCGA-53-7626-01A
76 years, female, white, stage:Stage IIA, dead, 929 days
11.9
TCGA-05-4405-01A
74 years, female, stage:Stage IB, alive, 610 days
11.8
TCGA-38-4626-01A
57 years, female, white, stage:'--, alive, 3674 days
11.8
TCGA-50-5936-01A
58 years, male, white, stage:Stage IIIA, dead, 257 days
11.8
TCGA-MP-A4T7-01A
75 years, female, stage:Stage IV, dead, 167 days
11.7
TCGA-91-8497-01A
75 years, female, white, stage:Stage IA, dead, 434 days
11.7
TCGA-49-6742-01A
70 years, male, white, stage:Stage IIA, dead, 488 days
11.5
TCGA-L9-A444-01A
60 years, female, white, stage:Stage IA, alive, 307 days
11.4
TCGA-55-7724-01A
76 years, female, white, stage:Stage IB, alive, 705 days
11.4
TCGA-44-6778-01A
59 years, male, black or african american, stage:Stage IA, alive, 1864 days
11.4
TCGA-55-7903-01A
64 years, male, white, stage:Stage IA, alive, 567 days
11.3
TCGA-62-8397-01A
70 years, female, white, stage:Stage IIB, alive, 1289 days
11.3
TCGA-55-7725-01A
68 years, female, white, stage:Stage IA, alive, 442 days
11.3
TCGA-MP-A4TC-01A
77 years, male, white, stage:Stage IIIA, dead, 74 days
11.3
TCGA-64-5778-01A
60 years, male, white, stage:Stage IB, alive, 1305 days
11.2
TCGA-69-8255-01A
71 years, male, white, stage:Stage IA, alive, 129 days
11.2
TCGA-49-4488-01A
74 years, female, white, stage:Stage IA, dead, 869 days
11.2
TCGA-44-7659-01A
70 years, male, white, stage:Stage IA, alive, 691 days
11.2
TCGA-55-8511-01A
73 years, female, white, stage:Stage IB, alive, 552 days
11.0
TCGA-55-7576-01A
54 years, male, black or african american, stage:Stage IB, alive, 670 days
10.9
TCGA-44-4112-01A
60 years, female, white, stage:Stage IB, dead, 808 days
10.9
TCGA-78-7162-01A
75 years, male, white, stage:Stage IA, dead, 3169 days
10.9
TCGA-86-8359-01A
52 years, male, white, stage:Stage IIIA, dead, 444 days
10.8
TCGA-55-8203-01A
69 years, female, white, stage:Stage IA, alive, 547 days
10.8
TCGA-MP-A4TE-01A
56 years, male, white, stage:Stage IIA, dead, 896 days
10.7
TCGA-49-6745-01A
82 years, male, white, stage:Stage IIIA, alive, 522 days
10.7
TCGA-55-8092-01A
75 years, male, white, stage:Stage IIB, dead, 154 days
10.6
TCGA-55-6971-01A
59 years, female, white, stage:Stage IB, alive, 1400 days
10.6
TCGA-L4-A4E5-01A
48 years, female, white, stage:Stage I, alive, 578 days
10.4
TCGA-NJ-A55R-01A
67 years, male, white, stage:Stage IA, alive, 603 days
10.3
TCGA-78-7150-01A
59 years, male, white, stage:Stage IIB, dead, 666 days
10.3
TCGA-55-6968-01A
61 years, male, white, stage:Stage IV, dead, 1293 days
10.3
TCGA-49-AARR-01A
68 years, male, black or african american, stage:Stage IA, alive, 4992 days
10.3
TCGA-78-8648-01A
58 years, female, stage:Stage IIB, dead, 1209 days
10.3
TCGA-44-2656-01A
59 years, male, white, stage:Stage IB, alive, 1429 days
10.3
TCGA-64-1679-01A
58 years, female, white, stage:Stage IIIA, alive, 2488 days
10.2
TCGA-69-7974-01A
54 years, female, white, stage:Stage IIIA, alive, 184 days
10.2
TCGA-86-7714-01A
61 years, female, black or african american, stage:Stage IIIA, dead, 625 days
10.2
TCGA-93-A4JN-01A
71 years, male, white, stage:Stage IV, alive, 718 days
10.1
TCGA-78-8662-01A
53 years, female, stage:Stage IB, dead, 3361 days
9.9
TCGA-78-7148-01A
71 years, male, white, stage:Stage IIB, dead, 626 days
9.9
TCGA-55-8089-01A
56 years, male, white, stage:Stage IA, dead, 702 days
9.9
TCGA-86-8056-01A
63 years, female, white, stage:Stage IIIA, alive, 139 days
9.8
TCGA-55-7227-01A
77 years, male, white, stage:Stage IIIA, dead, 952 days
9.8
TCGA-MP-A4T4-01A
68 years, female, white, stage:Stage IIB, dead, 2617 days
9.8
TCGA-73-4675-01A
59 years, male, white, stage:Stage IIIA, dead, 922 days
9.7
TCGA-44-8119-01A
73 years, male, white, stage:Stage IIB, alive, 285 days
9.7
TCGA-44-7662-01A
61 years, male, white, stage:Stage IB, alive, 218 days
9.7
TCGA-69-8453-01A
77 years, male, white, stage:Stage IIB, alive, 813 days
9.7
TCGA-75-5146-01A
male, stage:Stage IB, alive, 2368 days
9.6
TCGA-75-6212-01A
female, stage:Stage IIB, dead, 1516 days
9.6
TCGA-44-A479-01A
73 years, female, black or african american, stage:Stage IB, alive, 486 days
9.6
TCGA-97-A4M3-01A
69 years, female, white, stage:Stage IA, alive, 540 days
9.5
TCGA-05-4249-01A
67 years, male, stage:Stage IB, alive, 1523 days
9.5
TCGA-38-4628-01A
65 years, female, white, stage:Stage IIB, dead, 1492 days
9.5
TCGA-05-5429-01A
60 years, male, stage:Stage IIIA, dead, 275 days
9.5
TCGA-97-7547-01A
67 years, female, white, stage:Stage IB, alive, 1965 days
9.4
TCGA-69-7765-01A
56 years, male, black or african american, stage:'--, alive, 165 days
9.3
TCGA-MP-A4TA-01A
75 years, female, white, stage:Stage IA, dead, 950 days
9.2
TCGA-55-6982-01A
79 years, female, white, stage:Stage IIB, dead, 995 days
9.2
TCGA-99-7458-01A
74 years, female, white, stage:Stage IIIA, alive, 747 days
9.2
TCGA-55-7727-01A
70 years, male, white, stage:Stage IIIA, alive, 119 days
9.2
TCGA-NJ-A55O-01A
56 years, female, white, stage:Stage IIA, alive, 13 days
9.1
TCGA-50-6592-01A
71 years, female, white, stage:Stage IB, dead, 777 days
9.1
TCGA-49-AAR4-01A
51 years, male, black or african american, stage:Stage IIIA, dead, 879 days
9.1
TCGA-97-8177-01A
59 years, female, white, stage:Stage IB, alive, 499 days
9.1
TCGA-69-7978-01A
59 years, male, white, stage:Stage IIB, alive, 134 days
9.1
TCGA-86-8669-01A
64 years, male, white, stage:Stage IA, alive, 938 days
9.0
TCGA-69-8253-01A
59 years, female, black or african american, stage:Stage IIA, alive, 426 days
9.0
TCGA-44-5643-01A
53 years, male, black or african american, stage:Stage IIIA, alive, 1013 days
8.9
TCGA-97-8552-01A
55 years, female, white, stage:Stage I, alive, 626 days
8.9
TCGA-55-8621-01A
75 years, female, white, stage:Stage IA, alive, 515 days
8.9
TCGA-86-8585-01A
57 years, male, white, stage:Stage IB, alive, 353 days
8.8
TCGA-50-5930-01A
47 years, male, white, stage:Stage IIIA, dead, 282 days
8.7
TCGA-67-3772-01A
82 years, female, white, stage:Stage IB, alive, 573 days
8.7
TCGA-L9-A50W-01A
75 years, male, black or african american, stage:Stage IIA, dead, 442 days
8.6
TCGA-NJ-A4YF-01A
50 years, female, black or african american, stage:Stage IA, alive, 2161 days
8.6
TCGA-97-A4M6-01A
45 years, female, white, stage:Stage IA, alive, 568 days
8.6
TCGA-97-8172-01A
75 years, female, white, stage:Stage IB, alive, 545 days
8.5
TCGA-44-6146-01A
64 years, male, white, stage:Stage IIB, alive, 728 days
8.5
TCGA-44-2662-01A
65 years, male, white, stage:Stage IB, alive, 1280 days
8.5
TCGA-69-7761-01A
84 years, male, white, stage:Stage IB, alive, 186 days
8.4
TCGA-50-8457-01A
63 years, female, black or african american, stage:Stage IA, alive, 1125 days
8.4
TCGA-38-4627-01A
64 years, female, white, stage:Stage IIA, dead, 1147 days
8.3
TCGA-49-4494-01A
77 years, male, white, stage:Stage IIIA, dead, 1081 days
8.3
TCGA-55-A48Z-01A
60 years, female, white, stage:Stage IIIB, alive, 651 days
8.3
TCGA-91-6848-01A
59 years, male, white, stage:Stage IIIA, alive, 224 days
8.3
TCGA-67-3770-01A
70 years, female, white, stage:Stage IA, alive, 610 days
8.3
TCGA-86-7701-01A
66 years, male, white, stage:Stage IV, alive, 947 days
8.2
TCGA-78-7152-01A
65 years, male, white, stage:Stage IB, dead, 1215 days
8.0
TCGA-NJ-A4YQ-01A
69 years, female, white, stage:Stage IA, alive, 1432 days
8.0
TCGA-55-A492-01A
70 years, female, white, stage:Stage IA, alive, 596 days
8.0
TCGA-55-7910-01A
50 years, female, black or african american, stage:Stage IIA, alive, 1040 days
7.9
TCGA-62-A46P-01A
65 years, male, white, stage:Stage IB, dead, 594 days
7.8
TCGA-55-A490-01A
78 years, male, white, stage:Stage IIA, dead, 99 days
7.7
TCGA-44-A47G-01A
73 years, female, white, stage:Stage IA, alive, 351 days
7.6
TCGA-50-8459-01A
68 years, male, white, stage:Stage IIB, alive, 1119 days
7.5
TCGA-49-AAQV-01A
63 years, female, black or african american, stage:Stage II, dead, 677 days
7.5
TCGA-91-A4BC-01A
59 years, male, white, stage:Stage IIA, alive, 44 days
7.4
TCGA-49-4510-01A
51 years, female, black or african american, stage:Stage IIB, dead, 896 days
7.3
TCGA-50-6590-01A
72 years, female, white, stage:Stage IB, dead, 1288 days
7.3
TCGA-44-6777-01A
85 years, female, white, stage:Stage IB, dead, 987 days
7.2
TCGA-62-8394-01A
65 years, female, white, stage:Stage IIIB, dead, 139 days
7.2
TCGA-55-8619-01A
72 years, female, white, stage:Stage IIB, alive, 416 days
7.0
TCGA-69-7760-01A
73 years, male, white, stage:Stage IIB, alive, 202 days
7.0
TCGA-44-2665-01A
55 years, female, white, stage:Stage IIB, alive, 1301 days
6.9
TCGA-75-5147-01A
female, stage:Stage IB, alive, 1333 days
6.8
TCGA-05-4403-01A
76 years, male, stage:Stage IB, alive, 578 days
6.7
TCGA-93-7347-01A
76 years, female, white, stage:Stage IA, alive, 683 days
6.5
TCGA-55-8513-01A
77 years, female, white, stage:Stage IIB, alive, 791 days
6.4
TCGA-97-A4M0-01A
60 years, female, white, stage:Stage IB, alive, 652 days
6.4
TCGA-L9-A743-01A
56 years, male, black or african american, stage:Stage IIA, alive, 664 days
6.4
TCGA-44-2661-01A
69 years, female, white, stage:Stage IA, alive, 1159 days
6.2
TCGA-55-A493-01A
54 years, female, white, stage:Stage IB, alive, 28 days
6.1
TCGA-MP-A4T9-01A
54 years, female, white, stage:Stage IIIA, dead, 1265 days
6.1
TCGA-MN-A4N1-01A
60 years, male, black or african american, stage:Stage IIA, alive, 827 days
6.1
TCGA-44-2657-01A
74 years, female, white, stage:Stage IB, alive, 1351 days
6.1
TCGA-55-8508-01A
60 years, female, black or african american, stage:Stage IIA, alive, 617 days
6.1
TCGA-71-8520-01A
60 years, female, asian, stage:Stage IB, dead, 210 days
6.0
TCGA-05-4418-01A
69 years, male, stage:Stage IIIA, dead, 274 days
5.9
TCGA-MP-A4TK-01A
56 years, female, stage:Stage IIB, dead, 582 days
5.8
TCGA-86-8279-01A
46 years, male, white, stage:Stage IIA, alive, 949 days
5.8
TCGA-55-8090-01A
80 years, male, white, stage:Stage IA, dead, 598 days
5.6
TCGA-86-8672-01A
59 years, male, white, stage:Stage IIB, dead, 19 days
5.6
TCGA-49-AARN-01A
56 years, female, black or african american, stage:Stage IA, dead, 1135 days
5.5
TCGA-49-AARE-01A
51 years, female, black or african american, stage:Stage IA, dead, 1229 days
5.4
TCGA-55-A491-01A
81 years, female, white, stage:Stage IA, alive, 626 days
5.4
TCGA-38-4631-01A
72 years, female, white, stage:Stage IB, dead, 354 days
5.4
TCGA-83-5908-01A
59 years, female, white, stage:Stage IA, alive, 824 days
5.1
TCGA-38-7271-01A
72 years, female, white, stage:Stage IA, dead, 800 days
4.9
TCGA-55-7573-01A
72 years, female, white, stage:Stage IA, alive, 487 days
4.7
TCGA-44-2668-01A
51 years, male, white, stage:Stage IB, dead, 761 days
4.6
TCGA-44-3918-01A
60 years, female, white, stage:Stage IA, alive, 1036 days
4.6
TCGA-05-4432-01A
66 years, male, stage:Stage IIB, alive, 761 days
4.6
TCGA-99-8028-01A
50 years, female, black or african american, stage:Stage IA, alive, 1118 days
4.6
TCGA-44-7672-01A
52 years, female, white, stage:Stage IA, alive, 719 days
4.5
TCGA-MP-A4TI-01A
72 years, male, white, stage:Stage IIA, dead, 429 days
4.3
TCGA-44-2666-01A
43 years, male, white, stage:Stage IB, dead, 97 days
4.2
TCGA-35-3615-01A
57 years, male, white, stage:Stage IB, alive, 14 days
4.2
TCGA-55-8091-01A
74 years, male, white, stage:Stage IB, alive, 600 days
4.1
TCGA-55-8208-01A
73 years, female, white, stage:Stage IA, alive, 674 days
4.1
TCGA-91-6829-01A
78 years, male, white, stage:Stage IB, dead, 1258 days
4.0
TCGA-38-A44F-01A
80 years, male, white, stage:Stage IB, alive, 133 days
4.0
TCGA-35-4123-01A
38 years, male, white, stage:Stage IA, alive, 182 days
4.0
TCGA-97-A4M2-01A
66 years, male, white, stage:Stage IA, alive, 624 days
4.0
TCGA-50-5045-01A
57 years, female, black or african american, stage:'--, dead, 2174 days
3.9
TCGA-55-6987-01A
77 years, male, white, stage:Stage IA, alive, 2137 days
3.9
TCGA-50-5055-01A
79 years, female, white, stage:Stage IIA, dead, 1830 days
3.7
TCGA-44-A47A-01A
78 years, female, white, stage:Stage IB, alive, 466 days
3.6
TCGA-49-AAR2-01A
64 years, male, black or african american, stage:Stage IB, alive, 2224 days
3.6
TCGA-64-1677-01A
77 years, female, white, stage:Stage IIIA, dead, 628 days
3.5
TCGA-L4-A4E6-01A
67 years, male, white, stage:Stage IA, alive, 435 days
3.5
TCGA-49-AARQ-01A
41 years, female, black or african american, stage:Stage I, alive, 6732 days
3.4
TCGA-55-A494-01A
61 years, female, white, stage:Stage IB, alive, 481 days
3.4
TCGA-73-4658-01A
80 years, female, white, stage:Stage IB, dead, 1600 days
3.3
TCGA-44-3396-01A
74 years, female, white, stage:Stage IIIA, alive, 1130 days
3.3
TCGA-50-5066-01A
72 years, male, black or african american, stage:Stage IB, alive, 1442 days
3.3
TCGA-91-7771-01A
62 years, male, white, stage:Stage IIB, alive, 492 days
2.9
TCGA-35-5375-01A
61 years, male, white, stage:Stage IIIA, alive, 264 days
2.6
TCGA-86-8076-01A
42 years, male, white, stage:Stage IA, alive, 993 days
2.5
TCGA-50-5049-01A
70 years, male, white, stage:Stage IA, alive, 3094 days
2.5
TCGA-J2-A4AG-01A
66 years, female, white, stage:Stage IA, alive, 988 days
2.4
TCGA-78-7535-01A
45 years, male, white, stage:Stage IB, dead, 949 days
2.3
TCGA-69-A59K-01A
60 years, female, black or african american, stage:Stage IIB, alive, 591 days
2.3
TCGA-38-4625-01A
66 years, female, white, stage:Stage IB, alive, 2973 days
1.9
TCGA-50-5044-01A
72 years, female, white, stage:Stage IIIB, dead, 624 days
1.8
TCGA-78-7155-01A
68 years, male, white, stage:Stage IB, dead, 1171 days
1.8
TCGA-55-7726-01A
72 years, female, white, stage:Stage IA, alive, 652 days
1.7
TCGA-44-2659-01A
65 years, female, white, stage:Stage IIB, alive, 1367 days
1.5
TCGA-L9-A5IP-01A
40 years, female, black or african american, stage:Stage IV, dead, 58 days
1.5
TCGA-97-8174-01A
67 years, male, white, stage:Stage IIA, dead, 164 days
1.5
TCGA-MP-A4TJ-01A
62 years, female, stage:Stage IA, dead, 339 days
1.4
TCGA-91-6836-01A
52 years, female, white, stage:Stage IB, alive, 417 days
1.4
TCGA-78-7536-01A
69 years, male, white, stage:Stage IIIA, dead, 244 days
1.4
TCGA-05-4402-01A
57 years, female, stage:Stage IV, dead, 244 days
1.3
TCGA-44-3917-01A
33 years, female, white, stage:Stage IB, alive, 1183 days
1.3
TCGA-64-1676-01A
58 years, male, white, stage:Stage IA, alive, 1728 days
1.2
TCGA-MP-A4TD-01A
71 years, male, white, stage:Stage IIIA, dead, 307 days
1.1
TCGA-53-7813-01A
51 years, female, white, stage:Stage IIIB, alive, 424 days
1.1
TCGA-05-5428-01A
57 years, male, stage:Stage IIA, alive, 670 days
0.9
TCGA-97-A4M7-01A
74 years, male, white, stage:Stage IA, alive, 629 days
0.9
TCGA-44-2655-01A
65 years, female, white, stage:Stage IA, alive, 1324 days
0.9
TCGA-55-7574-01A
64 years, female, white, stage:Stage IB, dead, 995 days
0.8
TCGA-95-8494-01A
67 years, male, white, stage:Stage IIA, alive, 84 days
0.6
TCGA-05-4382-01A
68 years, male, stage:Stage IB, alive, 607 days
0.5
TCGA-78-7147-01A
67 years, female, white, stage:Stage IIB, dead, 586 days
0.5
TCGA-55-7815-01A
76 years, male, stage:Stage IB, alive, 773 days
0.4
TCGA-95-8039-01A
72 years, male, white, stage:Stage IA, alive, 830 days
0.4
TCGA-MP-A4T6-01A
76 years, female, white, stage:Stage IIIA, dead, 1790 days
0.4
TCGA-86-A4P8-01A
59 years, female, white, stage:Stage IIIA, alive, 805 days
0.4
TCGA-73-7498-01A
58 years, female, white, stage:Stage IA, alive, 1189 days
0.3
TCGA-38-4632-01A
42 years, male, black or african american, stage:Stage IV, dead, 1357 days
0.3
TCGA-99-8032-01A
61 years, male, white, stage:Stage IA, alive, 44 days
0.2
TCGA-55-6970-01A
67 years, female, white, stage:Stage IIIA, dead, 464 days
0.2
TCGA-64-5781-01A
55 years, female, white, stage:Stage IB, alive, 1559 days
0.1
TCGA-49-4505-01A
61 years, female, white, stage:Stage IIB, dead, 428 days
0.1
TCGA-78-7166-01A
84 years, male, white, stage:Stage IIB, dead, 258 days
0.1
TCGA-44-6145-01A
62 years, female, white, stage:Stage IA, alive, 595 days
0.1
TCGA-69-7980-01A
70 years, female, white, stage:Stage I, alive, 411 days
0.1
TCGA-NJ-A4YI-01A
87 years, female, white, stage:Stage IIIA, dead, 4 days
0.1
TCGA-97-A4M1-01A
52 years, female, white, stage:Stage IA, alive, 601 days
0.1
TCGA-05-4390-01A
58 years, female, stage:Stage IB, alive, 1126 days
0.1
TCGA-49-6761-01A
68 years, female, white, stage:Stage IIIA, alive, 354 days
0.0
TCGA-05-4430-01A
59 years, female, stage:Stage IB, alive, 761 days
0.0
TCGA-L9-A8F4-01A
64 years, female, black or african american, stage:Stage IB, alive, 476 days
0.0
TCGA-69-8254-01A
85 years, male, white, stage:'--, alive, 409 days
0.0
TCGA-50-5939-01A
85 years, male, white, stage:Stage IB, dead, 460 days
0.0
TCGA-69-7973-01A
42 years, female, white, stage:Stage IB, alive, 230 days
0.0
TCGA-J2-8194-01A
69 years, female, white, stage:Stage IIB, alive, 724 days
0.0
TCGA-75-7027-01A
male, stage:Stage IB, alive, 3059 days
0.0
TCGA-67-6215-01A
52 years, female, white, stage:Stage IB, alive, 174 days
0.0
TCGA-97-7552-01A
70 years, male, white, stage:Stage IB, alive, 1932 days
0.0
TCGA-50-5072-01A
74 years, male, white, stage:Stage IIIA, dead, 250 days
0.0
TCGA-64-1680-01A
63 years, male, white, stage:Stage IV, alive, 1126 days
0.0
TCGA-78-7539-01A
75 years, female, white, stage:Stage IIA, alive, 791 days
0.0
TCGA-55-7914-01A
71 years, female, white, stage:Stage IIA, dead, 187 days
0.0
TCGA-97-7938-01A
76 years, female, white, stage:Stage IA, dead, 18 days
0.0
TCGA-78-7633-01A
67 years, male, white, stage:Stage IB, dead, 1528 days
0.0
TCGA-86-8280-01A
54 years, female, white, stage:Stage IIA, alive, 701 days
0.0
TCGA-44-3398-01A
77 years, female, white, stage:Stage IA, alive, 1163 days
0.0
TCGA-86-7954-01A
68 years, female, white, stage:Stage IB, alive, 605 days
0.0
TCGA-91-6849-01A
75 years, female, black or african american, stage:Stage IIIA, alive, 35 days
0.0
TCGA-49-6744-01A
64 years, female, white, stage:Stage IIA, alive, 1683 days
0.0
TCGA-55-8506-01A
62 years, female, white, stage:Stage IIB, alive, 11 days
0.0
TCGA-55-8620-01A
60 years, male, white, stage:Stage IV, dead, 375 days
0.0
TCGA-95-7944-01A
71 years, male, white, stage:Stage IA, alive, 377 days
0.0
TCGA-55-6978-01A
81 years, male, white, stage:Stage IIA, dead, 176 days
0.0
TCGA-MP-A4TH-01A
70 years, female, white, stage:Stage IA, alive, 741 days
0.0
TCGA-55-6985-01A
58 years, female, white, stage:Stage IB, alive, 1233 days
0.0
TCGA-44-7670-01A
47 years, female, white, stage:Stage IIA, alive, 882 days
0.0
TCGA-95-A4VK-01A
74 years, female, white, stage:Stage IIIA, alive, 651 days
0.0
TCGA-05-4426-01A
71 years, male, stage:Stage IB, alive, 791 days
0.0
TCGA-44-3919-01A
71 years, female, white, stage:Stage IA, dead, 1026 days
0.0
TCGA-55-6712-01A
71 years, male, white, stage:Stage IIA, dead, 171 days
0.0
TCGA-05-4417-01A
51 years, female, stage:Stage IB, alive, 455 days
0.0
TCGA-44-6774-01A
56 years, female, white, stage:Stage IIIA, alive, 658 days
0.0
TCGA-64-5779-01A
61 years, male, white, stage:Stage IIIA, alive, 864 days
0.0
TCGA-NJ-A7XG-01A
49 years, male, black or african american, stage:Stage IIIA, alive, 617 days
0.0
TCGA-86-A4JF-01A
56 years, male, white, stage:Stage IIB, dead, 737 days
0.0
TCGA-86-A4P7-01A
63 years, female, white, stage:Stage IB, alive, 415 days
0.0
TCGA-78-7153-01A
65 years, female, white, stage:Stage IB, alive, 3635 days
0.0
TCGA-44-A4SU-01A
67 years, female, white, stage:Stage IA, dead, 409 days
0.0
TCGA-MP-A4SW-01A
53 years, male, white, stage:Stage IIB, dead, 1778 days
0.0
TCGA-67-6217-01A
73 years, female, white, stage:Stage IIA, alive, 422 days
0.0
TCGA-55-7816-01A
49 years, female, white, stage:Stage IV, dead, 468 days
0.0
TCGA-55-8615-01A
67 years, male, white, stage:Stage IIIA, alive, 446 days
0.0
TCGA-86-6562-01A
52 years, male, white, stage:Stage IIA, dead, 376 days
0.0
TCGA-55-6980-01A
56 years, male, white, stage:Stage IA, alive, 2109 days
0.0
TCGA-62-A46R-01A
54 years, female, white, stage:Stage IB, dead, 1725 days
0.0
TCGA-49-4514-01A
79 years, female, white, stage:Stage IA, alive, 1700 days
0.0
TCGA-75-5125-01A
male, stage:Stage IIB, dead, 2027 days
0.0
TCGA-49-AAR3-01A
69 years, male, black or african american, stage:Stage IIB, alive, 1893 days
0.0
TCGA-44-A4SS-01A
73 years, male, white, stage:Stage IA, alive, 415 days
0.0
TCGA-05-5420-01A
67 years, male, stage:Stage IIIA, alive, 457 days
0.0
TCGA-05-4434-01A
67 years, female, stage:Stage IV, dead, 457 days
0.0
TCGA-67-3773-01A
84 years, female, white, stage:Stage IB, alive, 427 days
0.0
TCGA-55-5899-01A
58 years, male, white, stage:'--, alive, 930 days
0.0
TCGA-55-7907-01A
77 years, male, white, stage:Stage IIA, dead, 343 days
0.0
TCGA-86-6851-01A
73 years, female, white, stage:Stage IIA, alive, 179 days
0.0
TCGA-NJ-A55A-01A
76 years, female, white, stage:Stage IB, alive, 15 days
0.0
TCGA-50-6673-01A
84 years, female, white, stage:Stage I, dead, 22 days
0.0
TCGA-86-8074-01A
62 years, female, white, stage:Stage IIA, alive, 24 days
0.0
TCGA-49-AAR0-01A
57 years, male, black or african american, stage:Stage IA, alive, 4765 days
0.0
TCGA-93-A4JO-01A
70 years, male, white, stage:Stage IA, dead, 33 days
0.0
TCGA-49-AARO-01A
39 years, female, black or african american, stage:Stage IA, alive, 3759 days
0.0
TCGA-55-8616-01A
58 years, female, white, stage:Stage IB, alive, 48 days
0.0
TCGA-NJ-A4YP-01A
52 years, male, white, stage:Stage IB, alive, 50 days
0.0
TCGA-86-A4D0-01A
48 years, male, white, stage:Stage IIA, dead, 116 days
0.0
TCGA-78-7146-01A
71 years, female, white, stage:Stage IIIA, dead, 173 days
0.0
TCGA-55-6983-01A
81 years, male, white, stage:Stage IIB, alive, 2823 days
0.0
TCGA-64-5774-01A
60 years, male, white, stage:Stage IB, alive, 2676 days
0.0
TCGA-73-A9RS-01A
41 years, male, black or african american, stage:Stage IIB, dead, 340 days
0.0
TCGA-L9-A443-01A
63 years, female, white, stage:Stage IA, dead, 193 days
0.0
TCGA-35-4122-01A
69 years, male, white, stage:Stage IA, alive, 225 days
0.0
TCGA-80-5611-01A
male, stage:Stage IB, alive, 2595 days
0.0
TCGA-55-6979-01A
59 years, female, white, stage:Stage IIB, dead, 237 days
0.0
TCGA-78-7537-01A
72 years, male, stage:Stage IB, dead, 1622 days
0.0
TCGA-55-6642-01A
63 years, male, white, stage:Stage IB, alive, 2449 days
0.0
TCGA-49-AAR9-01A
61 years, male, black or african american, stage:Stage IIB, dead, 260 days
0.0
TCGA-49-4507-01A
73 years, female, white, stage:Stage IIIA, dead, 268 days
0.0
TCGA-44-A47B-01A
79 years, male, white, stage:Stage IB, alive, 287 days
0.0
TCGA-4B-A93V-01A
52 years, female, black or african american, stage:Stage IA, dead, 300 days
0.0
TCGA-78-8660-01A
69 years, male, stage:Stage IIB, dead, 321 days
0.0
TCGA-MP-A4TF-01A
58 years, female, white, stage:Stage IIA, dead, 336 days
0.0
TCGA-71-6725-01A
48 years, female, asian, stage:Stage IB, alive, 256 days
0.0
TCGA-55-8301-01A
58 years, male, white, stage:Stage IB, alive, 534 days
0.0
TCGA-97-8176-01A
63 years, male, white, stage:Stage IIIA, dead, 468 days
0.0
TCGA-86-8671-01A
72 years, female, white, stage:Stage IIB, alive, 839 days
0.0
TCGA-05-4425-01A
70 years, female, stage:Stage IV, alive, 669 days
0.0
TCGA-49-6767-01A
46 years, female, white, stage:Stage IIB, alive, 677 days
0.0
TCGA-55-7728-01A
64 years, female, white, stage:Stage IB, alive, 704 days
0.0
TCGA-44-6775-01A
72 years, female, white, stage:Stage IB, alive, 705 days
0.0
TCGA-64-1678-01A
70 years, female, white, stage:'--, alive, 1189 days
0.0
TCGA-MN-A4N4-01A
57 years, male, white, stage:Stage IA, alive, 1175 days
0.0
TCGA-86-8073-01A
58 years, male, white, stage:Stage IB, alive, 740 days
0.0
TCGA-64-1681-01A
61 years, female, white, stage:Stage IA, dead, 1167 days
0.0
TCGA-86-7713-01A
70 years, male, white, stage:Stage IIA, alive, 1157 days
0.0
TCGA-86-8054-01A
61 years, male, white, stage:Stage IIB, alive, 1148 days
0.0
TCGA-73-4666-01A
52 years, female, white, stage:Stage IV, alive, 800 days
0.0
TCGA-86-8674-01A
50 years, male, white, stage:Stage IIA, alive, 806 days
0.0
TCGA-78-7145-01A
52 years, female, white, stage:Stage IV, dead, 826 days
0.0
TCGA-49-4487-01A
72 years, female, white, stage:Stage IA, dead, 855 days
0.0
TCGA-62-A471-01A
64 years, male, white, stage:Stage IIB, alive, 1246 days
0.0
TCGA-86-8673-01A
61 years, male, white, stage:Stage IB, alive, 862 days
0.0
TCGA-J2-A4AE-01A
77 years, female, white, stage:Stage IA, alive, 1079 days
0.0
TCGA-44-5644-01A
51 years, female, white, stage:Stage IB, alive, 863 days
0.0
TCGA-38-4629-01A
68 years, male, white, stage:Stage IIB, dead, 864 days
0.0
TCGA-53-A4EZ-01A
63 years, male, white, stage:Stage IIA, alive, 1071 days
0.0
TCGA-99-8025-01A
72 years, female, black or african american, stage:Stage IIIA, alive, 1060 days
0.0
TCGA-53-7624-01A
40 years, female, white, stage:Stage IV, dead, 1043 days
0.0
TCGA-64-5815-01A
74 years, male, white, stage:Stage IIB, alive, 866 days
0.0
TCGA-55-7281-01A
70 years, female, white, stage:Stage IA, alive, 872 days
0.0
TCGA-05-5425-01A
68 years, male, stage:Stage IIB, alive, 882 days
0.0
TCGA-49-4506-01A
68 years, female, white, stage:Stage IIB, dead, 999 days
0.0
TCGA-49-4512-01A
69 years, female, white, stage:Stage IIIA, dead, 905 days
0.0
TCGA-62-A472-01A
70 years, male, white, stage:Stage IIB, alive, 910 days
0.0
TCGA-99-AA5R-01A
70 years, female, black or african american, stage:Stage IA, alive, 658 days
0.0
TCGA-99-8033-01A
74 years, female, white, stage:Stage IV, dead, 656 days
0.0
TCGA-50-5051-01A
42 years, female, white, stage:Stage IIIA, dead, 478 days
0.0
TCGA-55-8094-01A
51 years, male, white, stage:Stage IV, alive, 541 days
0.0
TCGA-97-7941-01A
72 years, female, white, stage:Stage IA, alive, 484 days
0.0
TCGA-91-8496-01A
63 years, female, white, stage:Stage IB, alive, 505 days
0.0
TCGA-S2-AA1A-01A
68 years, female, black or african american, stage:Stage IA, alive, 513 days
0.0
TCGA-55-8204-01A
87 years, female, white, stage:Stage IB, alive, 515 days
0.0
TCGA-55-8514-01A
70 years, female, black or african american, stage:Stage IB, alive, 520 days
0.0
TCGA-50-5068-01A
59 years, female, white, stage:Stage IIB, dead, 1499 days
0.0
TCGA-62-8402-01A
73 years, female, white, stage:Stage IIIA, dead, 1498 days
0.0
TCGA-05-4420-01A
41 years, male, stage:Stage IB, alive, 912 days
0.0
TCGA-50-5941-01A
55 years, female, white, stage:Stage IIIA, alive, 1474 days
0.0
TCGA-62-A46O-01A
65 years, female, white, stage:Stage IB, dead, 1454 days
0.0
TCGA-55-8614-01A
76 years, male, white, stage:Stage IB, alive, 536 days
0.0
TCGA-55-8510-01A
55 years, female, white, stage:Stage IB, alive, 539 days
0.0
TCGA-05-4398-01A
47 years, female, stage:Stage IIIB, alive, 1431 days
0.0
TCGA-J2-A4AD-01A
61 years, female, white, stage:Stage IA, dead, 550 days
0.0
TCGA-50-6597-01A
79 years, female, white, stage:Stage IB, dead, 1268 days
0.0
TCGA-97-8175-01A
55 years, female, white, stage:Stage IB, alive, 551 days
0.0
TCGA-97-7937-01A
65 years, male, white, stage:Stage IB, alive, 564 days
0.0
TCGA-05-4389-01A
70 years, male, stage:Stage IA, alive, 1369 days
0.0
TCGA-95-7567-01A
61 years, male, white, stage:Stage IIB, alive, 568 days
0.0
TCGA-97-8171-01A
81 years, male, asian, stage:Stage IV, alive, 568 days
0.0
TCGA-44-7660-01A
72 years, male, white, stage:Stage IB, alive, 592 days
0.0
TCGA-78-7154-01A
72 years, male, white, stage:Stage IIIA, dead, 593 days
0.0
TCGA-91-A4BD-01A
78 years, male, white, stage:Stage IIA, alive, 603 days
0.0
TCGA-95-A4VP-01A
66 years, female, white, stage:Stage IIIA, alive, 605 days
0.0
TCGA-55-8512-01A
41 years, male, white, stage:Stage IV, dead, 607 days
0.0
TCGA-67-3771-01A
77 years, female, black or african american, stage:Stage IA, alive, 610 days
0.0
TCGA-55-A48Y-01A
69 years, male, white, stage:Stage IIA, alive, 630 days
0.0
TCGA-97-A4M5-01A
83 years, male, white, stage:Stage IA, alive, 634 days
0.0
TCGA-97-8547-01A
78 years, female, stage:Stage IIIA, alive, 657 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.
VPS52 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
8.1
Number of samples
105
Samples
Sample
Description
TPM
L596
74 years, female, stage:Stage IA, alive, 2319 days
28.0
L832
65 years, female, stage:Stage IA, alive, 2145 days
25.1
L768
60 years, male, stage:Stage IIIA, dead, 472 days
22.6
L404
74 years, female, stage:Stage IIA, dead, 2318 days
22.3
L458
76 years, female, stage:Stage IA, dead, 223 days
22.0
L617
68 years, male, stage:Stage IIIA, dead, 238 days
21.6
L764
66 years, male, stage:Stage IIIA, alive, 1684 days
21.4
L546
57 years, male, stage:Stage IA, dead, 973 days
20.9
L620
70 years, female, stage:Stage IIIA, dead, 338 days
19.8
L872
71 years, female, stage:Stage IA, alive, 1793 days
18.8
L569
76 years, female, stage:Stage IA, alive, 2531 days
18.8
L873
62 years, female, stage:Stage IA, alive, 1740 days
18.6
L493
56 years, female, stage:Stage IIB, alive, 2945 days
18.6
L413
72 years, female, stage:Stage IIIA, dead, 313 days
18.5
L439
80 years, male, stage:Stage IIB, dead, 2773 days
18.2
L626
76 years, female, stage:Stage IA, dead, 1994 days
17.7
L603
70 years, female, stage:Stage IB, dead, 972 days
17.3
L831
62 years, female, stage:Stage IB, alive, 2152 days
16.3
L738
74 years, female, stage:Stage IB, dead, 1314 days
16.1
L778
65 years, female, stage:Stage IA, alive, 1600 days
16.0
L601
75 years, male, stage:Stage IB, dead, 2068 days
14.8
L565
59 years, female, stage:Stage IB, dead, 543 days
14.3
L773
64 years, female, stage:Stage IV, dead, 311 days
14.0
L551
62 years, male, stage:Stage IA, alive, 2924 days
13.7
L871
74 years, male, stage:Stage IB, dead, 873 days
13.2
L885
62 years, female, stage:Stage IA, alive, 1618 days
13.1
L532
69 years, female, stage:Stage IA, dead, 301 days
12.7
L879
75 years, male, stage:Stage IV, dead, 873 days
12.0
L630
65 years, female, stage:Stage IA, dead, 1733 days
12.0
L638
65 years, male, stage:Stage IA, alive, 2076 days
11.9
L566
58 years, male, stage:Stage IB, alive, 2489 days
11.9
L874
56 years, female, stage:Stage IIIA, alive, 1733 days
11.1
L484
64 years, female, stage:Stage IA, alive, 2895 days
10.9
L541
70 years, female, stage:Stage IIIA, dead, 915 days
10.4
L511
56 years, female, stage:Stage IIIA, alive, 2942 days
10.4
L557
81 years, female, stage:Stage IB, alive, 2580 days
10.4
L504
65 years, female, stage:Stage IA, dead, 1295 days
10.1
L816
73 years, female, stage:Stage IIA, dead, 353 days
9.4
L607
59 years, male, stage:Stage IB, alive, 2572 days
9.2
L621
79 years, female, stage:Stage IIIA, dead, 1487 days
9.1
L746
64 years, female, stage:Stage IIIA, dead, 594 days
9.1
L875
69 years, female, stage:Stage IA, alive, 1675 days
9.0
L663
62 years, female, stage:Stage IB, alive, 2018 days
8.9
L531
74 years, male, stage:Stage IB, dead, 928 days
8.2
L842
62 years, female, stage:Stage IB, alive, 2005 days
8.1
L810
64 years, female, stage:Stage IIIA, dead, 625 days
8.0
L400
78 years, male, stage:Stage IIA, dead, 1233 days
7.6
L867
62 years, female, stage:Stage IIIA, dead, 317 days
7.5
L752
65 years, male, stage:Stage IIIA, alive, 1647 days
7.5
L688
57 years, male, stage:Stage IIIA, dead, 789 days
7.5
L791
66 years, female, stage:Stage IIIA, dead, 368 days
7.4
L808
48 years, female, stage:Stage IA, alive, 3001 days
7.3
L613
72 years, male, stage:Stage IIIA, dead, 19 days
7.3
L827
70 years, male, stage:Stage IIB, dead, 1105 days
7.3
L728
77 years, male, stage:Stage IIB, dead, 1128 days
7.2
L605
74 years, female, stage:Stage IA, alive, 2460 days
7.1
L678
65 years, female, stage:Stage IB, dead, 1114 days
7.1
L890
56 years, female, stage:Stage IIB, dead, 1264 days
6.7
L440
80 years, male, stage:Stage IIB, dead, 651 days
6.7
L682
64 years, female, stage:Stage IIB, dead, 840 days
6.5
L683
77 years, female, stage:Stage IIA, dead, 612 days
6.5
L619
68 years, female, stage:Stage IIIA, dead, 1905 days
6.1
L749
49 years, female, stage:Stage IIIA, dead, 189 days
5.3
L602
69 years, female, stage:Stage IA, alive, 2277 days
5.2
L851
70 years, male, stage:Stage IB, dead, 1315 days
5.0
L828
68 years, female, stage:Stage IIB, alive, 2222 days
4.6
L606
55 years, male, stage:Stage IA, alive, 2336 days
4.5
L766
59 years, male, stage:Stage IB, alive, 1793 days
4.2
L829
76 years, male, stage:Stage IA, alive, 2173 days
4.1
L826
45 years, female, stage:Stage IV, dead, 935 days
4.0
L838
71 years, female, stage:Stage IA, dead, 1005 days
3.2
L462
67 years, male, stage:Stage IIIA, dead, 568 days
2.7
L731
59 years, female, stage:Stage IA, dead, 964 days
2.1
L865
75 years, female, stage:Stage IIB, alive, 1927 days
2.0
L401
74 years, male, stage:Stage IIIA, dead, 1888 days
2.0
L800
66 years, female, stage:Stage IA, dead, 2417 days
1.6
L735
75 years, female, stage:Stage IA, alive, 1830 days
1.3
L877
70 years, female, stage:Stage IA, alive, 1599 days
1.0
L567
83 years, female, stage:Stage IIIA, dead, 1299 days
0.6
L695
68 years, female, stage:Stage IB, dead, 1762 days
0.5
L656
58 years, male, stage:Stage IA, alive, 2227 days
0.0
L814
73 years, male, stage:Stage IIIA, alive, 2466 days
0.0
L455
52 years, female, stage:Stage IA, alive, 3315 days
0.0
L599
80 years, male, stage:Stage IB, dead, 2083 days
0.0
L662
66 years, male, stage:Stage IA, dead, 865 days
0.0
L473
66 years, female, stage:Stage IA, alive, 3021 days
0.0
L530
76 years, female, stage:Stage IIA, dead, 308 days
0.0
L887
77 years, male, stage:Stage IA, dead, 374 days
0.0
L585
70 years, female, stage:Stage IIA, dead, 402 days
0.0
L616
54 years, male, stage:Stage IA, dead, 410 days
0.0
L446
71 years, female, stage:Stage IIB, dead, 415 days
0.0
L545
60 years, female, stage:Stage IA, alive, 2874 days
0.0
L880
75 years, female, stage:Stage IA, alive, 1767 days
0.0
L673
74 years, female, stage:Stage IA, dead, 568 days
0.0
L543
65 years, male, stage:Stage IA, alive, 2711 days
0.0
L710
72 years, female, stage:Stage IIA, alive, 1775 days
0.0
L561
62 years, female, stage:Stage IA, alive, 2543 days
0.0
L703
71 years, male, stage:Stage IIA, dead, 1137 days
0.0
L802
62 years, female, stage:Stage IA, dead, 773 days
0.0
L725
64 years, female, stage:Stage IA, alive, 1830 days
0.0
L593
78 years, male, stage:Stage IA, dead, 2436 days
0.0
L689
69 years, male, stage:Stage IA, alive, 1943 days
0.0
L612
80 years, female, stage:Stage IIIA, alive, 2410 days
0.0
L850
77 years, male, stage:Stage IIIA, dead, 997 days
0.0
L782
73 years, female, stage:Stage IIB, alive, 3371 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
VPS52 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
7.9
Number of samples
489
Samples
Sample
Description
TPM
TCGA-46-3769-01A
57 years, male, white, stage:'--, alive, 135 days
45.4
TCGA-22-4601-01A
73 years, female, white, stage:Stage IIIA, dead, 1057 days
37.3
TCGA-33-4587-01A
63 years, female, white, stage:Stage IB, dead, 1656 days
37.1
TCGA-77-8139-01A
72 years, male, stage:Stage IIB, alive, 3166 days
30.0
TCGA-56-7222-01A
60 years, male, white, stage:Stage IB, dead, 562 days
29.4
TCGA-60-2696-01A
76 years, female, black or african american, stage:Stage IIA, dead, 109 days
28.0
TCGA-56-7223-01A
66 years, male, white, stage:Stage IIIA, dead, 442 days
27.8
TCGA-66-2757-01A
65 years, female, stage:Stage IA, dead, 1338 days
27.3
TCGA-77-6844-01A
74 years, male, white, stage:Stage IIIA, dead, 2284 days
26.4
TCGA-56-8504-01A
74 years, male, white, stage:Stage IB, alive, 510 days
26.3
TCGA-56-A49D-01A
67 years, male, white, stage:Stage IIIA, alive, 637 days
25.7
TCGA-66-2754-01A
67 years, male, stage:Stage IIIA, alive, 61 days
25.2
TCGA-98-8021-01A
75 years, female, white, stage:Stage IA, alive, 937 days
24.9
TCGA-85-8071-01A
52 years, male, white, stage:Stage IIA, alive, 815 days
24.8
TCGA-60-2716-01A
39 years, male, stage:Stage IIB, alive, 1475 days
24.4
TCGA-60-2695-01A
74 years, female, white, stage:Stage IB, alive, 642 days
24.4
TCGA-94-A5I6-01A
62 years, male, white, stage:Stage IIB, alive, 538 days
23.6
TCGA-85-8664-01A
73 years, male, white, stage:Stage IIB, dead, 550 days
23.1
TCGA-43-5670-01A
70 years, male, white, stage:Stage IIA, alive, 849 days
22.9
TCGA-56-5898-01A
69 years, male, white, stage:Stage IA, alive, 555 days
22.8
TCGA-56-7730-01A
73 years, male, white, stage:Stage IIA, dead, 198 days
22.2
TCGA-94-7557-01A
73 years, male, black or african american, stage:Stage IB, dead, 5 days
22.1
TCGA-33-AASI-01A
65 years, female, black or african american, stage:Stage IIB, dead, 1344 days
21.8
TCGA-60-2714-01A
66 years, female, white, stage:Stage IIB, alive, 1531 days
21.6
TCGA-56-8307-01A
55 years, female, white, stage:Stage IIB, alive, 818 days
21.5
TCGA-85-7699-01A
73 years, male, white, stage:Stage IIIA, dead, 1001 days
21.5
TCGA-94-7943-01A
80 years, male, white, stage:Stage IA, alive, 559 days
21.3
TCGA-58-8388-01A
60 years, male, white, stage:Stage IB, dead, 412 days
21.2
TCGA-77-7138-01A
67 years, male, stage:Stage IB, dead, 340 days
21.1
TCGA-77-7337-01A
65 years, male, white, stage:Stage IIB, dead, 3253 days
21.0
TCGA-18-5595-01A
50 years, male, stage:Stage IB, dead, 827 days
21.0
TCGA-22-4595-01A
57 years, male, white, stage:Stage IIIA, dead, 734 days
20.8
TCGA-18-3408-01A
77 years, female, white, stage:Stage IB, dead, 2304 days
20.6
TCGA-85-A50M-01A
47 years, male, asian, stage:Stage IIA, dead, 826 days
20.6
TCGA-21-1081-01A
69 years, male, white, stage:Stage IIB, dead, 284 days
20.4
TCGA-58-A46K-01A
59 years, male, white, stage:Stage IIIA, dead, 1045 days
19.8
TCGA-66-2777-01A
71 years, male, stage:Stage IB, alive, 61 days
19.2
TCGA-85-8479-01A
66 years, male, white, stage:Stage IA, alive, 468 days
19.1
TCGA-NC-A5HT-01A
69 years, male, white, stage:Stage IIIA, alive, 804 days
19.1
TCGA-68-8250-01A
66 years, male, black or african american, stage:Stage IA, alive, 244 days
19.0
TCGA-34-8454-01A
62 years, female, white, stage:Stage IIIA, alive, 1180 days
18.7
TCGA-43-6770-01A
59 years, female, black or african american, stage:Stage IB, alive, 653 days
18.7
TCGA-77-8007-01A
68 years, male, stage:Stage IIB, dead, 198 days
18.7
TCGA-85-A4QR-01A
67 years, male, white, stage:Stage IB, alive, 600 days
18.7
TCGA-85-8352-01A
67 years, male, white, stage:Stage IIIA, dead, 161 days
18.6
TCGA-NC-A5HK-01A
58 years, female, white, stage:Stage IIB, alive, 128 days
18.4
TCGA-43-7656-01A
71 years, male, white, stage:Stage IA, alive, 596 days
18.4
TCGA-51-6867-01A
72 years, female, white, stage:Stage I, dead, 1856 days
18.3
TCGA-66-2755-01A
63 years, male, stage:Stage IB, alive, 28 days
18.1
TCGA-34-5929-01A
78 years, female, white, stage:Stage IB, dead, 151 days
18.1
TCGA-98-A538-01A
67 years, male, white, stage:Stage IIB, alive, 826 days
18.0
TCGA-21-1071-01A
67 years, male, white, stage:Stage IB, dead, 1426 days
18.0
TCGA-63-7023-01A
male, stage:Stage IIA, alive, 1682 days
17.9
TCGA-NC-A5HR-01A
75 years, female, white, stage:Stage IIA, alive, 1244 days
17.9
TCGA-77-8153-01A
77 years, female, stage:Stage IB, alive, 1992 days
17.8
TCGA-58-8390-01A
70 years, male, white, stage:Stage IIA, alive, 911 days
17.8
TCGA-56-A4ZK-01A
76 years, female, white, stage:Stage IB, alive, 570 days
17.7
TCGA-63-A5MY-01A
63 years, male, stage:Stage IA, alive, 1052 days
17.7
TCGA-56-A4BX-01A
70 years, male, white, stage:Stage IIA, alive, 405 days
17.7
TCGA-60-2711-01A
64 years, female, white, stage:Stage IB, alive, 1260 days
17.7
TCGA-56-7822-01A
75 years, male, black or african american, stage:Stage IIB, dead, 532 days
17.6
TCGA-66-2742-01A
70 years, male, stage:Stage IV, alive, 641 days
17.5
TCGA-96-7545-01A
73 years, male, white, stage:Stage IA, dead, 1736 days
17.5
TCGA-77-A5GF-01A
70 years, male, stage:Stage IIA, dead, 840 days
17.4
TCGA-56-7579-01A
61 years, male, white, stage:Stage IIIA, dead, 951 days
17.4
TCGA-22-4607-01A
75 years, male, white, stage:Stage IB, dead, 587 days
17.4
TCGA-60-2715-01A
51 years, male, white, stage:Stage IA, dead, 1075 days
17.3
TCGA-18-3419-01A
73 years, male, stage:Stage IIB, alive, 2811 days
17.2
TCGA-21-5783-01A
76 years, male, white, stage:Stage IB, dead, 2680 days
17.1
TCGA-77-8133-01A
74 years, male, stage:Stage IIA, dead, 1640 days
17.1
TCGA-21-A5DI-01A
77 years, male, white, stage:Stage IA, alive, 979 days
17.1
TCGA-51-4081-01A
55 years, male, white, stage:Stage IIB, alive, 911 days
17.0
TCGA-85-8072-01A
60 years, male, white, stage:Stage IA, alive, 932 days
17.0
TCGA-LA-A446-01A
68 years, male, white, stage:Stage IA, alive, 401 days
16.9
TCGA-58-A46M-01A
61 years, male, white, stage:Stage IIB, alive, 1072 days
16.9
TCGA-85-7843-01A
50 years, male, white, stage:Stage IIA, alive, 35 days
16.7
TCGA-94-8490-01A
70 years, male, white, stage:Stage IIB, alive, 153 days
16.6
TCGA-77-8138-01A
74 years, male, stage:Stage IB, dead, 539 days
16.4
TCGA-77-8154-01A
67 years, male, stage:Stage IA, alive, 1841 days
16.3
TCGA-18-5592-01A
57 years, male, stage:Stage IIB, alive, 1519 days
16.2
TCGA-34-8456-01A
71 years, female, white, stage:Stage IIA, alive, 804 days
16.2
TCGA-98-7454-01A
73 years, male, white, stage:Stage IB, alive, 652 days
16.1
TCGA-60-2707-01A
70 years, male, stage:Stage IB, dead, 667 days
16.1
TCGA-NC-A5HJ-01A
59 years, male, white, stage:Stage IIB, dead, 418 days
15.9
TCGA-51-4080-01A
65 years, male, black or african american, stage:Stage IIIB, dead, 12 days
15.8
TCGA-39-5021-01A
70 years, male, white, stage:Stage IB, dead, 2086 days
15.8
TCGA-22-5485-01A
58 years, female, white, stage:Stage IA, dead, 916 days
15.8
TCGA-63-A5MV-01A
69 years, male, stage:Stage IIA, alive, 1100 days
15.7
TCGA-52-7809-01A
74 years, male, white, stage:Stage IB, dead, 166 days
15.7
TCGA-63-A5MT-01A
74 years, male, stage:Stage IIB, alive, 498 days
15.4
TCGA-33-6738-01A
80 years, male, white, stage:Stage IIIA, alive, 1927 days
15.3
TCGA-43-8115-01A
72 years, female, white, stage:Stage IIA, alive, 407 days
15.2
TCGA-22-5480-01A
66 years, female, white, stage:Stage IA, dead, 2170 days
15.2
TCGA-O2-A52Q-01A
44 years, female, white, stage:Stage III, dead, 113 days
15.1
TCGA-56-7221-01A
79 years, male, white, stage:Stage IB, alive, 608 days
15.1
TCGA-37-4141-01A
65 years, female, white, stage:Stage IA, alive, 12 days
14.9
TCGA-77-A5G3-01A
63 years, male, stage:Stage IIB, alive, 4570 days
14.8
TCGA-43-3394-01A
52 years, male, black or african american, stage:Stage IB, dead, 1190 days
14.7
TCGA-34-8455-01A
67 years, male, white, stage:Stage IV, dead, 123 days
14.7
TCGA-21-1079-01A
71 years, male, white, stage:Stage IIIA, dead, 965 days
14.4
TCGA-33-4538-01A
66 years, male, white, stage:Stage IIIA, dead, 2979 days
14.4
TCGA-66-2783-01A
67 years, male, stage:Stage IIIB, alive, 759 days
14.3
TCGA-33-AASJ-01A
60 years, male, black or african american, stage:Stage IB, dead, 3600 days
14.3
TCGA-77-8143-01A
76 years, male, stage:Stage IIIA, dead, 803 days
14.3
TCGA-18-3412-01A
52 years, male, white, stage:Stage IB, dead, 345 days
14.2
TCGA-98-8022-01A
61 years, male, white, stage:Stage IA, dead, 933 days
14.2
TCGA-66-2786-01A
68 years, female, stage:Stage IA, alive, 790 days
14.2
TCGA-33-4583-01A
73 years, male, white, stage:Stage IA, dead, 4601 days
14.1
TCGA-63-A5MH-01A
68 years, male, stage:Stage IA, alive, 2026 days
13.9
TCGA-33-4532-01A
68 years, male, white, stage:Stage IB, dead, 3924 days
13.9
TCGA-66-2781-01A
67 years, male, stage:Stage IB, alive, 121 days
13.9
TCGA-56-1622-01A
58 years, male, white, stage:Stage IB, dead, 881 days
13.8
TCGA-18-3417-01A
65 years, male, stage:Stage IV, dead, 1097 days
13.8
TCGA-43-7657-01A
68 years, female, white, stage:Stage IA, alive, 236 days
13.8
TCGA-77-6843-01A
74 years, male, white, stage:Stage IIA, dead, 2224 days
13.7
TCGA-NK-A5CX-01A
73 years, male, white, stage:Stage IIA, alive, 111 days
13.6
TCGA-66-2769-01A
75 years, male, stage:Stage IIIB, dead, 215 days
13.6
TCGA-63-6202-01A
male, stage:Stage IIA, alive, 1602 days
13.4
TCGA-98-A53H-01A
76 years, female, white, stage:Stage IA, alive, 618 days
13.4
TCGA-66-2792-01A
58 years, male, stage:Stage IIB, alive, 913 days
13.3
TCGA-52-7812-01A
68 years, male, white, stage:'--, dead, 835 days
13.3
TCGA-22-5478-01A
79 years, male, stage:Stage IB, dead, 24 days
13.2
TCGA-18-3415-01A
77 years, male, stage:Stage IB, dead, 2803 days
13.1
TCGA-56-A5DR-01A
81 years, male, white, stage:Stage IA, alive, 4 days
13.0
TCGA-85-6561-01A
66 years, male, white, stage:Stage IB, alive, 1224 days
13.0
TCGA-60-2710-01A
67 years, female, white, stage:Stage IIA, alive, 2024 days
13.0
TCGA-33-4586-01A
57 years, male, white, stage:Stage IIIA, dead, 428 days
12.9
TCGA-22-5477-01A
65 years, male, white, stage:Stage IA, dead, 1346 days
12.9
TCGA-NC-A5HG-01A
59 years, male, white, stage:Stage IIIA, alive, 1963 days
12.7
TCGA-22-1011-01A
73 years, male, white, stage:Stage IB, dead, 53 days
12.5
TCGA-96-8170-01A
75 years, female, white, stage:Stage IIA, alive, 531 days
12.5
TCGA-66-2765-01A
64 years, male, stage:Stage IB, alive, 61 days
12.5
TCGA-68-8251-01A
78 years, male, white, stage:Stage IB, alive, 406 days
12.4
TCGA-18-4721-01A
74 years, male, white, stage:Stage IA, alive, 4694 days
12.2
TCGA-46-6026-01A
81 years, male, white, stage:Stage IIB, alive, 423 days
12.2
TCGA-L3-A524-01A
45 years, female, white, stage:Stage IIB, dead, 490 days
12.1
TCGA-90-7964-01A
70 years, male, white, stage:Stage IB, alive, 428 days
12.1
TCGA-66-2790-01A
72 years, male, stage:Stage IIB, alive, 699 days
12.0
TCGA-34-7107-01A
70 years, male, white, stage:Stage II, dead, 34 days
12.0
TCGA-66-2787-01A
57 years, male, stage:Stage IA, alive, 1217 days
12.0
TCGA-21-1080-01A
66 years, male, white, stage:Stage IB, alive, 3724 days
12.0
TCGA-46-3765-01A
59 years, female, white, stage:Stage IA, alive, 405 days
11.9
TCGA-90-A4ED-01A
69 years, male, white, stage:Stage IB, alive, 615 days
11.9
TCGA-85-A4CN-01A
56 years, female, white, stage:Stage IIB, alive, 1038 days
11.9
TCGA-66-2759-01A
66 years, male, stage:Stage IIIA, alive, 762 days
11.9
TCGA-96-8169-01A
67 years, female, white, stage:Stage IA, alive, 557 days
11.9
TCGA-56-8083-01A
56 years, male, white, stage:Stage IB, alive, 150 days
11.9
TCGA-18-3410-01A
81 years, male, stage:Stage IIB, dead, 146 days
11.9
TCGA-22-5491-01A
74 years, male, white, stage:Stage IA, dead, 1713 days
11.8
TCGA-85-7696-01A
64 years, male, white, stage:Stage IA, alive, 1111 days
11.8
TCGA-66-2766-01A
54 years, male, stage:Stage IIIA, alive, 31 days
11.8
TCGA-J1-A4AH-01A
70 years, male, white, stage:Stage IIA, alive, 581 days
11.6
TCGA-56-A4BY-01A
66 years, male, white, stage:Stage IB, dead, 543 days
11.6
TCGA-92-7341-01A
71 years, male, white, stage:Stage IB, alive, 106 days
11.5
TCGA-58-8386-01A
75 years, male, stage:Stage IV, dead, 1 days
11.5
TCGA-22-1017-01A
62 years, male, white, stage:Stage IA, dead, 1485 days
11.5
TCGA-NK-A5CT-01A
70 years, male, white, stage:Stage IA, alive, 1997 days
11.4
TCGA-66-2756-01A
68 years, male, stage:Stage IIIB, alive, 30 days
11.4
TCGA-18-3414-01A
73 years, male, asian, stage:Stage IV, dead, 716 days
11.3
TCGA-85-A4JB-01A
74 years, male, white, stage:Stage IIB, alive, 942 days
11.3
TCGA-90-7769-01A
55 years, male, white, stage:Stage IIB, alive, 358 days
11.2
TCGA-37-4133-01A
63 years, male, white, stage:Stage IIIA, alive, 238 days
11.2
TCGA-NC-A5HQ-01A
70 years, male, white, stage:Stage IIIA, dead, 448 days
11.2
TCGA-56-8304-01A
73 years, female, white, stage:Stage IA, alive, 106 days
11.2
TCGA-63-A5MP-01A
56 years, male, stage:Stage IIB, alive, 769 days
11.1
TCGA-43-A56V-01A
61 years, male, black or african american, stage:Stage IIIA, alive, 366 days
11.0
TCGA-90-A4EE-01A
53 years, male, white, stage:Stage IIA, alive, 688 days
10.9
TCGA-56-A4ZJ-01A
75 years, female, white, stage:Stage IA, alive, 640 days
10.9
TCGA-77-7338-01A
64 years, male, white, stage:Stage IB, dead, 5 days
10.9
TCGA-60-2724-01A
47 years, male, white, stage:Stage IIIA, alive, 717 days
10.9
TCGA-77-8008-01A
68 years, male, stage:Stage IB, dead, 2639 days
10.8
TCGA-O2-A52W-01A
63 years, male, black or african american, stage:Stage I, dead, 261 days
10.8
TCGA-85-8354-01A
53 years, male, white, stage:Stage IB, alive, 995 days
10.7
TCGA-22-A5C4-01A
70 years, male, white, stage:Stage IIA, alive, 671 days
10.7
TCGA-43-6647-01A
69 years, female, white, stage:Stage IIB, alive, 757 days
10.6
TCGA-18-3421-01A
65 years, male, white, stage:Stage IB, alive, 2645 days
10.6
TCGA-60-2698-01A
62 years, male, white, stage:Stage IIB, dead, 311 days
10.6
TCGA-66-2753-01A
69 years, male, stage:Stage IB, alive, 31 days
10.6
TCGA-56-5897-01A
74 years, male, white, stage:Stage IA, alive, 378 days
10.6
TCGA-39-5029-01A
67 years, male, white, stage:Stage IIIA, dead, 740 days
10.5
TCGA-O2-A52S-01A
57 years, female, white, stage:Stage III, dead, 387 days
10.4
TCGA-56-8625-01A
66 years, female, white, stage:Stage IIIA, dead, 315 days
10.3
TCGA-66-2737-01A
72 years, male, stage:Stage IIB, alive, 61 days
10.2
TCGA-92-8063-01A
52 years, male, white, stage:Stage IIIA, alive, 122 days
10.1
TCGA-22-1000-01A
76 years, male, white, stage:Stage IB, dead, 454 days
10.1
TCGA-56-8305-01A
72 years, male, white, stage:Stage IB, alive, 105 days
10.0
TCGA-60-2712-01A
79 years, female, white, stage:Stage IIB, dead, 274 days
10.0
TCGA-XC-AA0X-01A
77 years, female, black or african american, stage:Stage IA, dead, 6 days
10.0
TCGA-56-8626-01A
59 years, male, white, stage:Stage IA, dead, 302 days
10.0
TCGA-21-5786-01A
64 years, male, white, stage:Stage IB, alive, 1032 days
9.9
TCGA-39-5016-01A
44 years, male, white, stage:Stage IIA, alive, 3850 days
9.8
TCGA-21-5784-01A
80 years, female, white, stage:Stage IB, alive, 1268 days
9.8
TCGA-77-A5GH-01A
81 years, male, stage:Stage IB, alive, 1182 days
9.8
TCGA-66-2744-01A
71 years, male, stage:Stage IIB, alive, 30 days
9.8
TCGA-60-2709-01A
69 years, male, black or african american, stage:Stage IB, alive, 1505 days
9.7
TCGA-66-2767-01A
62 years, male, stage:Stage IIIB, alive, 61 days
9.7
TCGA-85-A53L-01A
63 years, male, asian, stage:Stage IIA, alive, 377 days
9.6
TCGA-85-8049-01A
57 years, male, white, stage:Stage IB, alive, 579 days
9.6
TCGA-92-8064-01A
58 years, male, white, stage:'--, alive, 160 days
9.6
TCGA-51-4079-01A
73 years, female, black or african american, stage:Stage IB, dead, 12 days
9.5
TCGA-68-7755-01A
60 years, female, white, stage:Stage IIA, alive, 83 days
9.5
TCGA-43-8116-01A
73 years, male, white, stage:Stage IA, alive, 358 days
9.4
TCGA-94-A5I4-01A
61 years, male, white, stage:Stage IIA, alive, 491 days
9.4
TCGA-22-0944-01A
61 years, male, white, stage:Stage IB, dead, 223 days
9.3
TCGA-63-A5MM-01A
69 years, female, stage:Stage IIB, dead, 456 days
9.3
TCGA-77-6842-01A
79 years, male, white, stage:Stage IIB, dead, 899 days
9.3
TCGA-43-A475-01A
67 years, female, white, stage:Stage IIB, alive, 296 days
9.3
TCGA-77-8148-01A
68 years, male, stage:Stage IIIA, alive, 2023 days
9.2
TCGA-77-7463-01A
75 years, male, white, stage:Stage IB, dead, 1423 days
9.1
TCGA-96-A4JL-01A
78 years, female, asian, stage:Stage IIA, alive, 842 days
9.1
TCGA-NC-A5HL-01A
73 years, male, white, stage:Stage IIA, dead, 88 days
9.1
TCGA-66-2780-01A
65 years, male, stage:Stage IB, dead, 366 days
9.1
TCGA-85-A50Z-01A
57 years, male, white, stage:Stage IIA, alive, 493 days
9.1
TCGA-NC-A5HE-01A
60 years, male, white, stage:Stage IIB, alive, 2336 days
9.0
TCGA-85-6175-01A
63 years, female, white, stage:Stage IIB, dead, 294 days
8.9
TCGA-66-2758-01A
71 years, male, stage:Stage IB, alive, 639 days
8.9
TCGA-85-6560-01A
59 years, male, white, stage:Stage IIA, alive, 1259 days
8.9
TCGA-68-7756-01A
84 years, male, white, stage:Stage IIIA, alive, 202 days
8.9
TCGA-O2-A52V-01A
75 years, female, black or african american, stage:Stage II, dead, 1335 days
8.7
TCGA-34-5236-01A
60 years, male, white, stage:Stage IIB, dead, 276 days
8.6
TCGA-96-7544-01A
83 years, male, white, stage:Stage IIB, dead, 2160 days
8.6
TCGA-39-5024-01A
65 years, female, white, stage:Stage IIIA, alive, 2510 days
8.5
TCGA-33-A5GW-01A
67 years, male, white, stage:Stage IIA, dead, 9 days
8.5
TCGA-22-1012-01A
80 years, female, white, stage:Stage IB, dead, 429 days
8.5
TCGA-60-2703-01A
73 years, male, white, stage:Stage IIB, dead, 2945 days
8.4
TCGA-37-3789-01A
65 years, male, white, stage:Stage IB, alive, 13 days
8.4
TCGA-66-2778-01A
68 years, female, stage:Stage IIIB, alive, 578 days
8.4
TCGA-85-7844-01A
71 years, male, white, stage:Stage IB, alive, 911 days
8.3
TCGA-33-4547-01A
68 years, male, white, stage:Stage IB, alive, 2419 days
8.3
TCGA-22-5481-01A
72 years, female, white, stage:Stage IIB, dead, 2409 days
8.2
TCGA-85-A511-01A
62 years, male, white, stage:Stage IIB, dead, 455 days
8.2
TCGA-60-2697-01A
41 years, male, white, stage:Stage IIA, dead, 372 days
8.1
TCGA-77-A5FZ-01A
64 years, male, stage:Stage IIIB, dead, 3838 days
8.0
TCGA-77-A5GA-01A
76 years, male, stage:Stage IB, alive, 1280 days
7.7
TCGA-39-5028-01A
75 years, male, white, stage:Stage IIIA, dead, 52 days
7.7
TCGA-85-A512-01A
46 years, male, white, stage:Stage IIA, alive, 465 days
7.6
TCGA-66-2791-01A
66 years, male, stage:Stage IIIB, dead, 153 days
7.6
TCGA-39-5022-01A
76 years, male, white, stage:Stage IB, dead, 1679 days
7.5
TCGA-66-2782-01A
71 years, male, stage:Stage IIB, dead, 365 days
7.5
TCGA-85-A4PA-01A
61 years, male, white, stage:Stage IB, alive, 741 days
7.4
TCGA-22-5479-01A
64 years, male, white, stage:Stage IB, dead, 2625 days
7.4
TCGA-63-A5MN-01A
78 years, female, stage:Stage IIB, dead, 345 days
7.3
TCGA-34-A5IX-01A
80 years, male, white, stage:Stage IIB, alive, 1031 days
7.3
TCGA-94-7033-01A
73 years, male, white, stage:Stage IB, alive, 640 days
7.3
TCGA-85-8481-01A
70 years, male, white, stage:Stage IIB, dead, 236 days
7.3
TCGA-66-2795-01A
68 years, male, stage:Stage IIIB, alive, 122 days
7.2
TCGA-39-5031-01A
76 years, female, stage:Stage IA, dead, 1841 days
7.0
TCGA-21-1077-01A
64 years, male, white, stage:Stage IIB, dead, 1058 days
7.0
TCGA-63-A5MR-01A
70 years, female, stage:Stage IB, alive, 2716 days
7.0
TCGA-43-2576-01A
62 years, female, white, stage:Stage IIIA, alive, 1223 days
7.0
TCGA-22-4599-01A
73 years, female, white, stage:Stage IB, dead, 1161 days
6.9
TCGA-60-2713-01A
64 years, male, white, stage:Stage IB, alive, 1731 days
6.9
TCGA-63-A5MJ-01A
54 years, male, stage:Stage IIB, alive, 1824 days
6.9
TCGA-39-5019-01A
70 years, male, white, stage:Stage IB, alive, 3387 days
6.8
TCGA-85-A4JC-01A
84 years, male, white, stage:Stage IIA, dead, 604 days
6.8
TCGA-90-6837-01A
64 years, male, white, stage:Stage IIB, alive, 758 days
6.7
TCGA-60-2725-01A
74 years, male, white, stage:Stage IB, alive, 816 days
6.7
TCGA-22-0940-01A
71 years, male, white, stage:Stage IIA, dead, 669 days
6.7
TCGA-77-7142-01A
59 years, female, white, stage:Stage IB, alive, 2227 days
6.5
TCGA-56-7580-01A
84 years, male, white, stage:Stage IB, alive, 925 days
6.5
TCGA-43-6773-01A
76 years, male, white, stage:Stage IIB, dead, 116 days
6.3
TCGA-85-8353-01A
72 years, male, white, stage:Stage IIIA, dead, 94 days
6.2
TCGA-66-2788-01A
56 years, male, stage:Stage IB, alive, 699 days
6.2
TCGA-22-4605-01A
78 years, female, stage:Stage IB, dead, 974 days
6.2
TCGA-46-3766-01A
62 years, female, white, stage:Stage IA, alive, 370 days
6.1
TCGA-22-5483-01A
74 years, male, white, stage:Stage IIA, dead, 573 days
6.1
TCGA-98-8020-01A
56 years, female, black or african american, stage:Stage IIIA, dead, 84 days
5.8
TCGA-39-5039-01A
76 years, male, white, stage:Stage IIA, dead, 544 days
5.8
TCGA-77-8145-01A
73 years, male, stage:Stage IIIB, dead, 212 days
5.6
TCGA-22-1005-01A
63 years, male, white, stage:Stage IA, dead, 1953 days
5.5
TCGA-18-3416-01A
83 years, male, stage:Stage IIB, dead, 973 days
5.5
TCGA-85-A513-01A
60 years, female, asian, stage:Stage IA, alive, 910 days
5.4
TCGA-92-7340-01A
45 years, female, white, stage:Stage IIA, alive, 82 days
5.4
TCGA-43-2581-01A
47 years, female, white, stage:Stage IIIA, alive, 1176 days
5.2
TCGA-33-6737-01A
71 years, male, white, stage:Stage IIIA, dead, 601 days
5.2
TCGA-22-1016-01A
65 years, male, white, stage:Stage IB, dead, 822 days
5.2
TCGA-77-6845-01A
69 years, male, white, stage:Stage IIB, dead, 708 days
5.1
TCGA-34-5241-01A
79 years, male, white, stage:Stage IB, dead, 515 days
4.9
TCGA-77-8150-01A
64 years, male, stage:Stage IIIA, dead, 1655 days
4.9
TCGA-58-8392-01A
70 years, male, white, stage:Stage IB, dead, 501 days
4.8
TCGA-77-8131-01A
72 years, male, stage:Stage IB, dead, 383 days
4.6
TCGA-56-8622-01A
68 years, male, white, stage:Stage IB, alive, 55 days
4.5
TCGA-22-5482-01A
81 years, male, white, stage:Stage IB, dead, 357 days
4.5
TCGA-39-5030-01A
81 years, female, asian, stage:Stage IIIA, dead, 59 days
4.3
TCGA-43-8118-01A
55 years, female, white, stage:Stage IA, dead, 89 days
4.2
TCGA-39-5037-01A
65 years, male, white, stage:Stage IIA, alive, 1690 days
4.1
TCGA-22-1002-01A
69 years, male, white, stage:Stage IA, dead, 131 days
4.0
TCGA-33-AASL-01A
57 years, female, black or african american, stage:Stage IA, dead, 826 days
4.0
TCGA-33-A4WN-01A
60 years, male, white, stage:Stage IB, dead, 143 days
3.9
TCGA-77-8156-01A
60 years, male, stage:Stage IB, alive, 1106 days
3.8
TCGA-60-2708-01A
64 years, female, white, stage:Stage IIB, alive, 2447 days
3.3
TCGA-33-4589-01A
62 years, female, white, stage:Stage IIB, dead, 47 days
3.2
TCGA-34-2608-01A
84 years, male, white, stage:Stage IB, dead, 1000 days
3.2
TCGA-60-2726-01A
56 years, male, white, stage:Stage IIA, dead, 358 days
3.1
TCGA-77-8136-01A
74 years, female, stage:Stage IIB, dead, 1189 days
3.0
TCGA-90-A59Q-01A
61 years, female, white, stage:Stage IIA, dead, 322 days
3.0
TCGA-34-5928-01A
83 years, female, white, stage:Stage IIB, alive, 1196 days
2.9
TCGA-43-5668-01A
78 years, male, white, stage:Stage IIA, dead, 559 days
2.8
TCGA-39-5036-01A
73 years, male, white, stage:Stage IB, alive, 2165 days
2.8
TCGA-60-2721-01A
73 years, male, white, stage:Stage IB, alive, 983 days
2.6
TCGA-34-2596-01A
70 years, male, white, stage:Stage IIB, dead, 80 days
2.5
TCGA-37-A5EN-01A
59 years, male, white, stage:Stage IIIB, alive, 660 days
2.5
TCGA-22-4613-01A
73 years, female, white, stage:Stage IA, dead, 358 days
2.4
TCGA-22-5474-01A
74 years, male, white, stage:Stage IB, dead, 445 days
2.3
TCGA-39-5027-01A
73 years, male, white, stage:Stage IB, alive, 3108 days
2.3
TCGA-43-7658-01A
75 years, female, white, stage:Stage IA, dead, 2378 days
2.2
TCGA-33-AAS8-01A
59 years, female, black or african american, stage:Stage IA, dead, 1114 days
2.1
TCGA-60-2720-01A
60 years, female, white, stage:Stage IB, alive, 97 days
2.1
TCGA-22-4609-01A
81 years, male, white, stage:Stage IA, dead, 291 days
2.1
TCGA-22-5489-01A
64 years, male, white, stage:Stage IA, dead, 1912 days
2.0
TCGA-34-5234-01A
71 years, female, white, stage:Stage IA, alive, 2271 days
1.9
TCGA-56-A5DS-01A
72 years, female, white, stage:Stage IB, alive, 8 days
1.9
TCGA-63-A5MS-01A
78 years, male, stage:Stage IB, alive, 2381 days
1.8
TCGA-85-8666-01A
65 years, male, white, stage:Stage IB, dead, 687 days
1.8
TCGA-56-8201-01A
74 years, male, white, stage:Stage IIB, dead, 397 days
1.7
TCGA-33-AASD-01A
83 years, male, black or african american, stage:Stage IA, dead, 2249 days
1.6
TCGA-60-2723-01A
74 years, female, white, stage:Stage IB, alive, 1092 days
1.5
TCGA-43-A56U-01A
76 years, female, white, stage:Stage IA, alive, 432 days
1.4
TCGA-58-A46L-01A
73 years, male, white, stage:Stage IIIA, alive, 1723 days
1.4
TCGA-NC-A5HF-01A
74 years, male, white, stage:Stage IIIB, dead, 138 days
1.0
TCGA-37-4130-01A
56 years, male, white, stage:Stage IA, alive, 247 days
0.9
TCGA-21-5782-01A
68 years, female, white, stage:Stage IB, dead, 962 days
0.9
TCGA-37-4129-01A
52 years, female, white, stage:Stage IA, alive, 242 days
0.9
TCGA-22-4593-01A
77 years, male, white, stage:Stage IIA, dead, 1067 days
0.9
TCGA-60-2706-01A
58 years, male, white, stage:Stage IA, alive, 2820 days
0.8
TCGA-22-4594-01A
60 years, female, stage:Stage IIIA, dead, 1470 days
0.8
TCGA-98-A53B-01A
69 years, male, white, stage:Stage IB, dead, 61 days
0.8
TCGA-37-5819-01A
64 years, male, white, stage:Stage IIIA, alive, 103 days
0.8
TCGA-34-5232-01A
75 years, female, black or african american, stage:Stage IIA, alive, 2471 days
0.7
TCGA-58-8391-01A
57 years, female, white, stage:Stage IIIA, alive, 2167 days
0.7
TCGA-56-A4BW-01A
55 years, male, white, stage:Stage IIA, alive, 585 days
0.7
TCGA-46-6025-01A
71 years, male, white, stage:Stage IIB, alive, 324 days
0.7
TCGA-94-8491-01A
73 years, male, white, stage:Stage IIA, alive, 810 days
0.6
TCGA-22-4591-01A
80 years, male, white, stage:Stage IIIA, dead, 623 days
0.5
TCGA-98-8023-01A
70 years, male, white, stage:Stage IIIA, alive, 649 days
0.4
TCGA-56-8308-01A
79 years, male, white, stage:Stage IIB, alive, 517 days
0.3
TCGA-63-A5MG-01A
68 years, male, stage:Stage IB, alive, 2148 days
0.2
TCGA-68-A59I-01A
73 years, female, black or african american, stage:Stage IIIA, alive, 492 days
0.2
TCGA-NC-A5HI-01A
68 years, female, white, stage:Stage IB, alive, 1743 days
0.2
TCGA-85-8288-01A
70 years, male, white, stage:Stage IIA, dead, 402 days
0.2
TCGA-18-3411-01A
63 years, female, stage:Stage IIIA, alive, 3576 days
0.1
TCGA-77-8128-01A
60 years, male, stage:Stage IIIA, dead, 1150 days
0.1
TCGA-39-5011-01A
70 years, female, white, stage:Stage IA, alive, 4053 days
0.1
TCGA-56-6545-01A
77 years, female, white, stage:Stage IB, alive, 666 days
0.1
TCGA-22-4604-01A
73 years, male, white, stage:Stage IIA, dead, 399 days
0.1
TCGA-33-4533-01A
76 years, female, black or african american, stage:Stage IB, alive, 4068 days
0.1
TCGA-58-A46J-01A
64 years, male, white, stage:Stage IIB, alive, 2589 days
0.1
TCGA-56-8309-01A
66 years, male, white, stage:Stage IA, alive, 428 days
0.1
TCGA-66-2789-01A
73 years, male, stage:Stage IIIB, dead, 123 days
0.1
TCGA-98-A53C-01A
77 years, female, white, stage:Stage IA, alive, 822 days
0.1
TCGA-63-7022-01A
female, stage:Stage IA, alive, 2073 days
0.0
TCGA-22-4596-01A
69 years, female, white, stage:Stage IB, dead, 17 days
0.0
TCGA-18-4083-01A
63 years, male, white, stage:Stage IIB, dead, 188 days
0.0
TCGA-21-5787-01A
65 years, male, black or african american, stage:Stage IIIA, dead, 329 days
0.0
TCGA-37-A5EM-01A
49 years, male, white, stage:Stage II, alive, 867 days
0.0
TCGA-98-A53I-01A
64 years, male, white, stage:Stage IIA, alive, 565 days
0.0
TCGA-43-3920-01A
71 years, male, white, stage:Stage IB, alive, 1007 days
0.0
TCGA-58-8393-01A
68 years, female, white, stage:Stage IB, alive, 1058 days
0.0
TCGA-58-A46N-01A
52 years, male, white, stage:Stage IB, alive, 910 days
0.0
TCGA-77-7141-01A
64 years, male, white, stage:Stage IB, alive, 15 days
0.0
TCGA-63-7020-01A
male, stage:Stage IA, alive, 2133 days
0.0
TCGA-21-1076-01A
54 years, female, white, stage:Stage IB, alive, 1852 days
0.0
TCGA-22-5472-01A
67 years, male, white, stage:Stage IB, dead, 1975 days
0.0
TCGA-O2-A52N-01A
78 years, male, white, stage:Stage I, dead, 1006 days
0.0
TCGA-46-3768-01A
58 years, male, white, stage:Stage IIIA, dead, 299 days
0.0
TCGA-52-7622-01A
62 years, female, white, stage:Stage IA, alive, 862 days
0.0
TCGA-85-8052-01A
53 years, male, white, stage:Stage IIB, alive, 734 days
0.0
TCGA-18-3407-01A
72 years, male, asian, stage:Stage IB, dead, 136 days
0.0
TCGA-94-A4VJ-01A
71 years, female, white, stage:Stage IA, alive, 430 days
0.0
TCGA-NC-A5HP-01A
69 years, male, white, stage:Stage IV, dead, 770 days
0.0
TCGA-37-3792-01A
69 years, male, white, stage:Stage IB, alive, 12 days
0.0
TCGA-21-1075-01A
57 years, male, white, stage:Stage IIB, alive, 2134 days
0.0
TCGA-MF-A522-01A
54 years, male, white, stage:Stage IB, dead, 360 days
0.0
TCGA-37-3783-01A
51 years, male, white, stage:Stage IIIA, alive, 122 days
0.0
TCGA-66-2768-01A
57 years, male, stage:Stage IIB, alive, 61 days
0.0
TCGA-85-8584-01A
71 years, male, white, stage:Stage IIA, dead, 383 days
0.0
TCGA-77-A5G1-01A
75 years, male, stage:Stage IIIA, alive, 4026 days
0.0
TCGA-56-8624-01A
84 years, male, white, stage:Stage IIB, alive, 420 days
0.0
TCGA-77-7335-01A
62 years, female, white, stage:Stage IIIB, dead, 2133 days
0.0
TCGA-85-7710-01A
59 years, female, white, stage:Stage IA, alive, 42 days
0.0
TCGA-34-2600-01A
76 years, female, white, stage:Stage IA, dead, 1874 days
0.0
TCGA-85-8355-01A
63 years, male, white, stage:Stage IA, alive, 61 days
0.0
TCGA-NK-A7XE-01A
66 years, male, black or african american, stage:Stage IIIB, alive, 13 days
0.0
TCGA-L3-A4E7-01A
71 years, male, white, stage:Stage IB, alive, 392 days
0.0
TCGA-63-A5ML-01A
68 years, male, stage:Stage IB, alive, 1386 days
0.0
TCGA-43-2578-01A
59 years, female, white, stage:Stage IA, dead, 684 days
0.0
TCGA-39-5035-01A
72 years, female, white, stage:Stage IA, alive, 2080 days
0.0
TCGA-96-A4JK-01A
65 years, male, white, stage:Stage IIA, alive, 589 days
0.0
TCGA-77-A5G6-01A
66 years, male, stage:Stage IIIA, dead, 678 days
0.0
TCGA-NC-A5HN-01A
77 years, male, white, stage:Stage IIA, alive, 1499 days
0.0
TCGA-56-7731-01A
66 years, female, white, stage:Stage IB, dead, 3 days
0.0
TCGA-33-AASB-01A
66 years, male, black or african american, stage:Stage IB, dead, 211 days
0.0
TCGA-77-7139-01A
56 years, male, white, stage:Stage IIB, alive, 4261 days
0.0
TCGA-77-8130-01A
69 years, male, stage:Stage IIB, alive, 4765 days
0.0
TCGA-63-7021-01A
male, stage:Stage IA, alive, 2142 days
0.0
TCGA-37-4132-01A
61 years, female, white, stage:Stage IV, alive, 227 days
0.0
TCGA-18-4086-01A
64 years, male, stage:Stage IB, dead, 85 days
0.0
TCGA-43-6771-01A
85 years, male, white, stage:Stage IB, dead, 166 days
0.0
TCGA-37-4135-01A
68 years, male, white, stage:Stage IB, alive, 207 days
0.0
TCGA-33-4582-01A
55 years, male, white, stage:Stage IA, dead, 3149 days
0.0
TCGA-52-7811-01A
67 years, male, white, stage:Stage IB, dead, 266 days
0.0
TCGA-92-8065-01A
74 years, female, white, stage:Stage IIB, alive, 70 days
0.0
TCGA-NK-A5CR-01A
77 years, male, stage:Stage IB, alive, 2542 days
0.0
TCGA-66-2785-01A
65 years, male, stage:Stage IB, alive, 60 days
0.0
TCGA-21-1072-01A
75 years, male, white, stage:Stage IB, alive, 3016 days
0.0
TCGA-85-A5B5-01A
58 years, male, white, stage:Stage IA, alive, 111 days
0.0
TCGA-94-8035-01A
64 years, male, white, stage:Stage IIB, alive, 122 days
0.0
TCGA-63-A5MB-01A
62 years, male, stage:Stage IB, alive, 3123 days
0.0
TCGA-77-8146-01A
72 years, male, stage:Stage IA, alive, 3189 days
0.0
TCGA-85-6798-01A
57 years, male, white, stage:Stage IIIA, dead, 195 days
0.0
TCGA-56-8503-01A
76 years, female, white, stage:Stage IIB, alive, 41 days
0.0
TCGA-NC-A5HH-01A
53 years, male, white, stage:Stage IA, alive, 37 days
0.0
TCGA-66-2763-01A
63 years, female, stage:Stage IB, alive, 30 days
0.0
TCGA-21-1070-01A
60 years, female, black or african american, stage:Stage IIIA, alive, 3636 days
0.0
TCGA-21-1082-01A
61 years, male, white, stage:Stage IB, alive, 3644 days
0.0
TCGA-85-8287-01A
72 years, male, white, stage:Stage IA, dead, 23 days
0.0
TCGA-90-7767-01A
56 years, male, white, stage:Stage IIB, alive, 89 days
0.0
TCGA-98-A539-01A
63 years, male, white, stage:Stage IIB, alive, 173 days
0.0
TCGA-18-3409-01A
74 years, male, white, stage:Stage IA, alive, 3747 days
0.0
TCGA-66-2773-01A
69 years, male, stage:Stage IB, dead, 92 days
0.0
TCGA-18-3406-01A
67 years, male, white, stage:Stage IA, dead, 371 days
0.0
TCGA-90-7766-01A
66 years, female, white, stage:Stage IA, alive, 289 days
0.0
TCGA-77-7140-01A
69 years, female, white, stage:Stage IIB, dead, 632 days
0.0
TCGA-66-2727-01A
55 years, female, stage:Stage IB, dead, 516 days
0.0
TCGA-39-5040-01A
59 years, male, white, stage:Stage IIIA, dead, 519 days
0.0
TCGA-98-A53A-01A
70 years, male, black or african american, stage:Stage IB, dead, 552 days
0.0
TCGA-85-7950-01A
46 years, male, white, stage:Stage IB, alive, 576 days
0.0
TCGA-85-8582-01A
49 years, male, white, stage:Stage IA, alive, 1160 days
0.0
TCGA-60-2704-01A
73 years, male, white, stage:Stage IIB, dead, 1154 days
0.0
TCGA-37-A5EL-01A
53 years, male, white, stage:Stage IIB, dead, 1143 days
0.0
TCGA-85-8580-01A
52 years, female, white, stage:Stage IB, alive, 1113 days
0.0
TCGA-66-2771-01A
60 years, male, stage:Stage IIB, alive, 578 days
0.0
TCGA-39-5034-01A
73 years, female, white, stage:Stage IIB, dead, 1107 days
0.0
TCGA-56-7582-01A
83 years, male, white, stage:Stage IB, alive, 601 days
0.0
TCGA-56-8628-01A
78 years, male, white, stage:Stage IA, alive, 616 days
0.0
TCGA-85-7697-01A
49 years, male, white, stage:Stage IIB, alive, 1063 days
0.0
TCGA-98-A53J-01A
77 years, male, white, stage:Stage IB, alive, 630 days
0.0
TCGA-98-A53D-01A
68 years, male, white, stage:Stage IIB, dead, 645 days
0.0
TCGA-NC-A5HM-01A
76 years, male, white, stage:Stage IB, alive, 1212 days
0.0
TCGA-85-8276-01A
62 years, male, white, stage:Stage IIA, alive, 1050 days
0.0
TCGA-NC-A5HD-01A
79 years, male, white, stage:Stage IIB, dead, 2 days
0.0
TCGA-85-8350-01A
61 years, male, white, stage:Stage IA, alive, 683 days
0.0
TCGA-77-7465-01A
58 years, male, white, stage:Stage IIA, alive, 990 days
0.0
TCGA-56-8623-01A
71 years, male, white, stage:Stage IB, dead, 692 days
0.0
TCGA-43-6143-01A
70 years, male, white, stage:Stage IB, alive, 699 days
0.0
TCGA-66-2770-01A
79 years, male, stage:Stage IB, alive, 700 days
0.0
TCGA-85-8048-01A
62 years, male, white, stage:Stage IA, alive, 765 days
0.0
TCGA-85-8070-01A
71 years, male, white, stage:Stage IB, alive, 960 days
0.0
TCGA-85-7698-01A
48 years, male, white, stage:Stage IA, alive, 952 days
0.0
TCGA-77-8144-01A
70 years, male, stage:Stage IB, alive, 833 days
0.0
TCGA-85-A4QQ-01A
68 years, male, white, stage:Stage IB, dead, 927 days
0.0
TCGA-52-7810-01A
60 years, female, white, stage:Stage IIB, alive, 923 days
0.0
TCGA-85-A4CL-01A
65 years, male, white, stage:Stage IA, dead, 921 days
0.0
TCGA-NK-A5D1-01A
57 years, male, white, stage:Stage IIA, alive, 511 days
0.0
TCGA-85-8351-01A
72 years, male, white, stage:Stage IIA, alive, 510 days
0.0
TCGA-34-5231-01A
72 years, male, white, stage:Stage IA, dead, 1984 days
0.0
TCGA-63-A5MW-01A
76 years, male, stage:Stage IB, alive, 1639 days
0.0
TCGA-22-5473-01A
78 years, male, white, stage:'--, dead, 1933 days
0.0
TCGA-66-2793-01A
68 years, male, stage:Stage IIIB, dead, 306 days
0.0
TCGA-85-8277-01A
70 years, male, white, stage:Stage IIIA, dead, 307 days
0.0
TCGA-22-5471-01A
75 years, male, white, stage:Stage IB, alive, 1845 days
0.0
TCGA-34-5239-01A
75 years, male, white, stage:Stage IIIA, alive, 1834 days
0.0
TCGA-O2-A5IB-01A
71 years, female, white, stage:Stage III, dead, 340 days
0.0
TCGA-63-A5MI-01A
65 years, male, stage:Stage IIIA, alive, 1784 days
0.0
TCGA-77-8140-01A
66 years, female, stage:Stage IIB, dead, 351 days
0.0
TCGA-43-A474-01A
66 years, male, white, stage:Stage IIA, alive, 353 days
0.0
TCGA-77-8009-01A
68 years, male, stage:Stage IIB, dead, 1695 days
0.0
TCGA-70-6722-01A
47 years, male, asian, stage:Stage IIIA, alive, 367 days
0.0
TCGA-60-2722-01A
66 years, male, white, stage:Stage IIB, alive, 908 days
0.0
TCGA-70-6723-01A
65 years, male, asian, stage:Stage IIA, alive, 375 days
0.0
TCGA-66-2794-01A
64 years, male, stage:Stage IIIB, alive, 1645 days
0.0
TCGA-46-3767-01A
76 years, male, white, stage:Stage IA, alive, 396 days
0.0
TCGA-22-5492-01A
73 years, female, stage:Stage IIIA, dead, 506 days
0.0
TCGA-66-2734-01A
62 years, female, stage:Stage IB, alive, 1311 days
0.0
TCGA-85-A510-01A
74 years, female, white, stage:Stage IIB, alive, 482 days
0.0
TCGA-56-8629-01A
63 years, male, white, stage:Stage IIA, alive, 481 days
0.0
TCGA-21-1078-01A
77 years, male, white, stage:Stage IB, dead, 474 days
0.0
TCGA-56-8082-01A
80 years, female, white, stage:Stage IIA, alive, 455 days
0.0
TCGA-68-A59J-01A
74 years, female, white, stage:Stage IB, alive, 448 days
0.0
TCGA-60-2719-01A
83 years, female, white, stage:Stage IB, alive, 1297 days
0.0
TCGA-21-1083-01A
75 years, male, white, stage:Stage IA, dead, 1315 days
0.0
TCGA-34-5240-01A
73 years, female, white, stage:Stage IIB, alive, 1541 days
0.0
TCGA-NC-A5HO-01A
70 years, female, white, stage:Stage IIIA, alive, 1336 days
0.0
TCGA-56-A62T-01A
78 years, male, black or african american, stage:Stage IIA, alive, 440 days
0.0
TCGA-34-5927-01A
70 years, female, white, stage:Stage IA, alive, 1361 days
0.0
TCGA-LA-A7SW-01A
71 years, male, black or african american, stage:Stage IIIA, dead, 408 days
0.0
TCGA-58-8387-01A
60 years, male, white, stage:Stage IIA, dead, 403 days
0.0
TCGA-66-2800-01A
70 years, male, stage:Stage IIIB, alive, 1492 days
0.0
TCGA-33-4566-01A
40 years, male, white, stage:Stage IB, dead, 5287 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.
VPS52 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
7.6
Number of samples
68
Samples
Sample
Description
TPM
L568
77 years, female, stage:Stage IIB, dead, 71 days
29.7
L539
78 years, male, stage:Stage IB, dead, 370 days
28.1
L739
49 years, female, stage:Stage IIIA, dead, 352 days
18.8
L820
73 years, female, stage:Stage IA, alive, 2405 days
18.3
L470
78 years, female, stage:Stage IB, dead, 1774 days
17.5
L406
64 years, male, stage:Stage IA, alive, 3057 days
15.1
L633
77 years, female, stage:Stage IA, alive, 2102 days
15.1
L472
71 years, male, stage:Stage IB, dead, 423 days
15.1
L452
62 years, male, stage:Stage IIIA, dead, 3115 days
15.0
L464
66 years, male, stage:Stage IB, dead, 1935 days
14.9
L559
72 years, male, stage:Stage IIB, alive, 2615 days
14.0
L715
69 years, female, stage:Stage IIIA, dead, 150 days
13.9
L604
67 years, male, stage:Stage IIA, dead, 286 days
13.8
L852
64 years, male, stage:Stage IB, dead, 700 days
13.4
L818
67 years, male, stage:Stage IB, alive, 2480 days
13.2
L886
71 years, male, stage:Stage IB, dead, 1932 days
13.0
L719
63 years, male, stage:Stage IB, alive, 1615 days
13.0
L655
62 years, male, stage:Stage IIA, dead, 1603 days
12.7
L642
67 years, male, stage:Stage IB, dead, 1167 days
11.8
L755
82 years, male, stage:Stage IIA, dead, 227 days
11.7
L420
57 years, female, stage:Stage IIB, dead, 295 days
11.6
L881
70 years, male, stage:Stage IB, alive, 1752 days
11.6
L661
66 years, male, stage:Stage IA, dead, 1123 days
11.1
L854
62 years, female, stage:Stage IB, alive, 2256 days
10.9
L652
82 years, male, stage:Stage IA, dead, 5 days
10.3
L824
70 years, male, stage:Stage IA, dead, 665 days
10.1
L496
77 years, male, stage:Stage IB, alive, 2761 days
10.0
L444
74 years, female, stage:Stage IIB, alive, 3337 days
9.8
L442
75 years, female, stage:Stage IB, dead, 2433 days
9.2
L736
67 years, male, stage:Stage IA, dead, 1195 days
9.2
L644
67 years, male, stage:Stage IA, dead, 282 days
8.8
L457
46 years, female, stage:Stage IIA, alive, 2901 days
8.5
L723
67 years, male, stage:Stage IIA, dead, 433 days
8.3
L529
79 years, female, stage:Stage IA, alive, 2775 days
8.3
L447
67 years, male, stage:Stage IIB, alive, 3203 days
7.7
L860
77 years, male, stage:Stage IA, alive, 2056 days
6.9
L572
58 years, male, stage:Stage IA, alive, 2532 days
5.7
L817
76 years, female, stage:Stage IIIA, dead, 1279 days
5.2
L788
54 years, female, stage:Stage IA, alive, 3385 days
4.8
L751
59 years, female, stage:Stage IIIA, alive, 1600 days
4.8
L856
69 years, male, stage:Stage IA, dead, 1465 days
4.5
L488
61 years, female, stage:Stage IIA, alive, 2993 days
4.0
L758
84 years, male, stage:Stage IA, dead, 1562 days
3.8
L456
48 years, male, stage:Stage IIA, dead, 1660 days
3.4
L534
66 years, male, stage:Stage IIA, alive, 2693 days
3.4
L760
80 years, male, stage:Stage IIA, alive, 1895 days
2.7
L747
74 years, female, stage:Stage IA, dead, 1112 days
2.4
L767
67 years, male, stage:Stage IA, alive, 1718 days
2.1
L468
53 years, male, stage:Stage IB, alive, 3004 days
1.4
L858
69 years, female, stage:Stage IIB, dead, 558 days
1.0
L608
73 years, male, stage:Stage IA, alive, 2350 days
1.0
L685
71 years, female, stage:Stage IIB, alive, 1944 days
0.5
L864
66 years, female, stage:Stage IA, alive, 2192 days
0.1
L586
67 years, male, stage:Stage IIA, dead, 784 days
0.0
L483
65 years, male, stage:Stage IB, dead, 77 days
0.0
L857
69 years, male, stage:Stage IB, dead, 226 days
0.0
L459
75 years, male, stage:Stage IIA, alive, 3181 days
0.0
L466
65 years, female, stage:Stage IIIA, dead, 412 days
0.0
L756
72 years, male, stage:Stage IB, alive, 1796 days
0.0
L490
58 years, male, stage:Stage IA, dead, 716 days
0.0
L650
69 years, female, stage:Stage IB, dead, 986 days
0.0
L563
61 years, female, stage:Stage IIB, dead, 1216 days
0.0
L592
61 years, male, stage:Stage IB, alive, 2368 days
0.0
L744
75 years, male, stage:Stage IA, alive, 1614 days
0.0
L884
71 years, male, stage:Stage IIA, alive, 1627 days
0.0
L658
65 years, female, stage:Stage IIB, alive, 2083 days
0.0
L753
61 years, male, stage:Stage IIA, alive, 1705 days
0.0
L712
61 years, male, stage:Stage IA, alive, 1698 days
0.0
Show allShow less
LUNG ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
213
Samples
Sample ID
Sample type
nRPX
CPT0148280004
Tumor
0.5
CPT0118620003
Tumor
0.4
CPT0068130003
Normal
0.4
CPT0070080003
Normal
0.4
CPT0001060010
Tumor
0.3
CPT0008420003
Normal
0.3
CPT0147080004
Tumor
0.3
CPT0001690003
Normal
0.3
CPT0086310003
Tumor
0.3
CPT0001800013
Tumor
0.3
CPT0092240003
Tumor
0.3
CPT0067770003
Normal
0.3
CPT0052940004
Tumor
0.3
CPT0114010003
Normal
0.3
CPT0147380004
Tumor
0.2
CPT0148300003
Normal
0.2
CPT0067290003
Normal
0.2
CPT0109830004
Tumor
0.2
CPT0092250003
Normal
0.2
CPT0147600003
Normal
0.2
CPT0147580004
Tumor
0.2
CPT0079830003
Tumor
0.2
CPT0069370003
Normal
0.2
CPT0105980003
Normal
0.2
CPT0125830003
Normal
0.2
CPT0001070003
Normal
0.2
CPT0105510003
Tumor
0.2
CPT0148000003
Normal
0.2
CPT0112060003
Tumor
0.2
CPT0118880003
Tumor
0.2
CPT0115090003
Normal
0.2
CPT0105630003
Tumor
0.2
CPT0105190003
Normal
0.2
CPT0067470004
Normal
0.2
CPT0147880004
Tumor
0.2
CPT0013630003
Normal
0.2
CPT0090200003
Normal
0.2
CPT0067620003
Tumor
0.2
CPT0008450003
Tumor
0.2
CPT0102480003
Normal
0.2
CPT0109850003
Normal
0.2
CPT0148200003
Normal
0.2
CPT0147100003
Normal
0.2
CPT0021490003
Normal
0.2
CPT0113210003
Tumor
0.2
CPT0118200003
Tumor
0.2
CPT0000920017
Tumor
0.2
CPT0068100003
Tumor
0.2
CPT0109680004
Tumor
0.2
CPT0090570004
Tumor
0.2
CPT0068650003
Normal
0.1
CPT0147500003
Normal
0.1
CPT0069720003
Normal
0.1
CPT0118650003
Normal
0.1
CPT0146700003
Normal
0.1
CPT0105250003
Normal
0.1
CPT0082890003
Normal
0.1
CPT0109700003
Normal
0.1
CPT0008410003
Tumor
0.1
CPT0063730003
Tumor
0.1
CPT0089340003
Tumor
0.1
CPT0063840003
Normal
0.1
CPT0083810003
Normal
0.1
CPT0117970003
Tumor
0.1
CPT0063750003
Normal
0.1
CPT0067950003
Normal
0.1
CPT0067940003
Tumor
0.1
CPT0118010003
Normal
0.1
CPT0105740003
Normal
0.1
CPT0001810003
Normal
0.1
CPT0066810003
Normal
0.1
CPT0066930003
Normal
0.1
CPT0014860003
Tumor
0.1
CPT0013600003
Tumor
0.1
CPT0105600003
Tumor
0.1
CPT0147400003
Normal
0.1
CPT0015420003
Normal
0.1
CPT0118600003
Normal
0.1
CPT0082740004
Tumor
0.1
CPT0118830003
Normal
0.1
CPT0069700003
Tumor
0.1
CPT0111590003
Normal
0.1
CPT0110890003
Normal
0.1
CPT0069550003
Normal
0.1
CPT0001660013
Tumor
0.1
CPT0086770003
Normal
0.1
CPT0014930003
Normal
0.1
CPT0148100003
Normal
0.1
CPT0086320003
Normal
0.1
CPT0001390003
Normal
0.1
CPT0113220003
Normal
0.1
CPT0051690004
Tumor
0.1
CPT0104650003
Normal
0.1
CPT0146600003
Normal
0.1
CPT0014260003
Tumor
0.1
CPT0146880004
Tumor
0.1
CPT0092930003
Tumor
0.1
CPT0114840003
Tumor
0.1
CPT0105370004
Normal
0.1
CPT0114690003
Normal
0.1
CPT0105270003
Tumor
0.1
CPT0000930003
Normal
0.1
CPT0118360003
Normal
0.1
CPT0146800003
Normal
0.1
CPT0118240003
Normal
0.1
CPT0068830003
Normal
0.1
CPT0109720004
Tumor
0.1
CPT0109740004
Tumor
0.1
CPT0090370003
Normal
0.1
CPT0092530003
Tumor
0.1
CPT0083420003
Normal
0.1
CPT0109710003
Normal
0.1
CPT0146980004
Tumor
0.1
CPT0112080003
Normal
0.1
CPT0113990003
Tumor
0.1
CPT0066890003
Tumor
0.1
CPT0011910004
Tumor
0.1
CPT0104760003
Normal
0.1
CPT0091260003
Normal
0.1
CPT0083100003
Tumor
0.1
CPT0015410003
Tumor
0.0
CPT0106110003
Tumor
0.0
CPT0067450003
Tumor
0.0
CPT0147480004
Tumor
0.0
CPT0146680004
Tumor
0.0
CPT0115070003
Tumor
0.0
CPT0114880003
Normal
0.0
CPT0109760003
Normal
0.0
CPT0062810003
Normal
0.0
CPT0021450003
Tumor
0.0
CPT0066780003
Tumor
0.0
CPT0011710004
Tumor
0.0
CPT0083390004
Tumor
0.0
CPT0111480003
Normal
0.0
CPT0068610003
Tumor
0.0
CPT0067250003
Tumor
0.0
CPT0001970003
Normal
0.0
CPT0114660004
Tumor
0.0
CPT0090170004
Tumor
0.0
CPT0090600003
Normal
0.0
CPT0097600003
Normal
0.0
CPT0105230003
Tumor
0.0
CPT0118810003
Tumor
0.0
CPT0110860004
Tumor
0.0
CPT0111300003
Tumor
0.0
CPT0067110003
Normal
0.0
CPT0023310003
Tumor
0.0
CPT0105710003
Tumor
0.0
CPT0001590003
Normal
0.0
CPT0105010004
Normal
0.0
CPT0068800003
Tumor
0.0
CPT0110980004
Tumor
0.0
CPT0118160003
Tumor
0.0
CPT0023320003
Normal
0.0
CPT0014290003
Normal
0.0
CPT0011930003
Normal
0.0
CPT0106100003
Normal
0.0
CPT0118180003
Normal
0.0
CPT0147980004
Tumor
0.0
CPT0125810003
Tumor
0.0
CPT0105550003
Normal
0.0
CPT0104970003
Tumor
0.0
CPT0105330003
Tumor
0.0
CPT0105680003
Normal
0.0
CPT0089360003
Normal
0.0
CPT0084170003
Normal
0.0
CPT0063810003
Tumor
0.0
CPT0086750003
Tumor
0.0
CPT0104750003
Tumor
0.0
CPT0070060003
Tumor
0.0
CPT0105060003
Tumor
0.0
CPT0069360003
Tumor
0.0
CPT0118890003
Normal
0.0
CPT0090720003
Normal
0.0
CPT0118570003
Tumor
0.0
CPT0001380003
Tumor
0.0
CPT0147900003
Normal
0.0
CPT0001580009
Tumor
0.0
CPT0013910003
Normal
0.0
CPT0147000003
Normal
-0.1
CPT0102450003
Tumor
-0.1
CPT0091870003
Normal
-0.1
CPT0092940003
Normal
-0.1
CPT0082850004
Tumor
-0.1
CPT0104630003
Tumor
-0.1
CPT0052170004
Tumor
-0.1
CPT0105610003
Normal
-0.1
CPT0105940003
Tumor
-0.1
CPT0146780004
Tumor
-0.1
CPT0083140003
Normal
-0.1
CPT0001960003
Tumor
-0.1
CPT0083780003
Tumor
-0.1
CPT0090340003
Tumor
-0.1
CPT0082770003
Normal
-0.1
CPT0098130003
Tumor
-0.1
CPT0079850003
Normal
-0.1
CPT0148180004
Tumor
-0.1
CPT0067070003
Tumor
-0.1
CPT0091860003
Tumor
-0.1
CPT0013880003
Tumor
-0.1
CPT0069520003
Tumor
-0.1
CPT0053040004
Tumor
-0.2
CPT0055100004
Tumor
-0.2
CPT0097580003
Tumor
-0.2
CPT0011750003
Normal
-0.2
CPT0090700003
Tumor
-0.2
CPT0091240003
Tumor
-0.2
CPT0090860003
Tumor
-0.2
CPT0084140003
Tumor
-0.3
CPT0118340003
Tumor
-0.3
CPT0090900004
Normal
-0.4
CPT0146580004
Tumor
N/A
CPT0148080004
Tumor
N/A
Show allShow less
LUNG SQUAMOUS CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
212
Samples
Sample ID
Sample type
nRPX
CPT0245890003
Normal
0.6
CPT0098770003
Tumor
0.5
CPT0197100003
Normal
0.5
CPT0197480003
Tumor
0.4
CPT0112540003
Tumor
0.4
CPT0222740003
Normal
0.4
CPT0237080003
Normal
0.4
CPT0191750003
Normal
0.4
CPT0126530003
Tumor
0.4
CPT0221220003
Normal
0.3
CPT0197170003
Normal
0.3
CPT0196820003
Normal
0.3
CPT0241210003
Normal
0.3
CPT0237430003
Normal
0.3
CPT0202530004
Tumor
0.3
CPT0195520003
Normal
0.3
CPT0064040003
Tumor
0.3
CPT0091090003
Normal
0.3
CPT0175410003
Normal
0.3
CPT0205000003
Normal
0.3
CPT0083990003
Normal
0.3
CPT0233640003
Normal
0.3
CPT0233600003
Tumor
0.3
CPT0238130003
Normal
0.3
CPT0126400003
Normal
0.3
CPT0237210003
Normal
0.2
CPT0117720003
Tumor
0.2
CPT0232690003
Normal
0.2
CPT0237990003
Normal
0.2
CPT0146500003
Normal
0.2
CPT0104380003
Normal
0.2
CPT0126760003
Normal
0.2
CPT0209040003
Normal
0.2
CPT0130070003
Normal
0.2
CPT0234820003
Normal
0.2
CPT0001030003
Normal
0.2
CPT0063440003
Normal
0.2
CPT0202220004
Normal
0.2
CPT0112660003
Normal
0.2
CPT0227070003
Normal
0.2
CPT0245880003
Tumor
0.2
CPT0196810003
Tumor
0.2
CPT0202170003
Tumor
0.2
CPT0237780003
Normal
0.2
CPT0236430003
Normal
0.2
CPT0186130003
Tumor
0.2
CPT0105430003
Normal
0.2
CPT0147200003
Normal
0.2
CPT0063500003
Normal
0.2
CPT0234950004
Normal
0.2
CPT0197380003
Normal
0.2
CPT0192590004
Normal
0.2
CPT0183270003
Normal
0.2
CPT0175160003
Normal
0.2
CPT0091620003
Normal
0.2
CPT0112550003
Normal
0.2
CPT0126450003
Tumor
0.2
CPT0208770003
Tumor
0.2
CPT0187380003
Normal
0.2
CPT0068320003
Normal
0.2
CPT0130440004
Normal
0.2
CPT0208780003
Normal
0.2
CPT0126390003
Tumor
0.2
CPT0225470003
Normal
0.2
CPT0087210003
Normal
0.2
CPT0023500003
Normal
0.2
CPT0237710003
Normal
0.2
CPT0209510003
Normal
0.2
CPT0202580004
Normal
0.2
CPT0204800003
Tumor
0.2
CPT0233330003
Normal
0.2
CPT0233160003
Normal
0.2
CPT0112720003
Tumor
0.2
CPT0234580003
Normal
0.2
CPT0126470003
Normal
0.2
CPT0108600003
Normal
0.2
CPT0237200004
Tumor
0.2
CPT0237570003
Normal
0.2
CPT0186210003
Normal
0.2
CPT0202400004
Normal
0.2
CPT0187370003
Tumor
0.1
CPT0218310003
Normal
0.1
CPT0217490003
Normal
0.1
CPT0010050003
Tumor
0.1
CPT0186140003
Normal
0.1
CPT0130310003
Normal
0.1
CPT0204660003
Normal
0.1
CPT0207250003
Normal
0.1
CPT0123370003
Normal
0.1
CPT0079050003
Tumor
0.1
CPT0221660003
Normal
0.1
CPT0237970004
Tumor
0.1
CPT0108560003
Tumor
0.1
CPT0192540004
Tumor
0.1
CPT0117770003
Normal
0.1
CPT0202740003
Normal
0.1
CPT0147180004
Tumor
0.1
CPT0079110003
Normal
0.1
CPT0191930003
Normal
0.1
CPT0197520003
Normal
0.1
CPT0219390003
Normal
0.1
CPT0130030003
Tumor
0.1
CPT0112730003
Normal
0.1
CPT0237760003
Tumor
0.1
CPT0104950003
Normal
0.1
CPT0079060003
Normal
0.1
CPT0111000004
Normal
0.1
CPT0191860003
Tumor
0.1
CPT0128900003
Normal
0.1
CPT0238110004
Tumor
0.1
CPT0197090003
Tumor
0.1
CPT0063480003
Tumor
0.1
CPT0010060003
Normal
0.1
CPT0223790003
Tumor
0.1
CPT0007760003
Normal
0.1
CPT0245790003
Normal
0.1
CPT0102840003
Normal
0.1
CPT0227420003
Normal
0.1
CPT0222730003
Tumor
0.1
CPT0197860003
Normal
0.1
CPT0204990003
Tumor
0.1
CPT0104930003
Tumor
0.1
CPT0227020003
Tumor
0.1
CPT0126670003
Tumor
0.1
CPT0147700003
Normal
0.1
CPT0245780003
Tumor
0.1
CPT0146400003
Normal
0.1
CPT0126740003
Tumor
0.1
CPT0104360003
Tumor
0.0
CPT0079100003
Tumor
0.0
CPT0232670003
Tumor
0.0
CPT0202720003
Tumor
0.0
CPT0136660003
Normal
0.0
CPT0069900003
Normal
0.0
CPT0245840003
Normal
0.0
CPT0175270003
Normal
0.0
CPT0089880003
Tumor
0.0
CPT0087190003
Tumor
0.0
CPT0112580003
Tumor
0.0
CPT0101130003
Tumor
0.0
CPT0064050003
Normal
0.0
CPT0001020003
Tumor
0.0
CPT0202040003
Normal
0.0
CPT0086270003
Normal
0.0
CPT0186180003
Tumor
0.0
CPT0112650003
Tumor
0.0
CPT0190550003
Tumor
0.0
CPT0197150003
Tumor
0.0
CPT0098800003
Normal
0.0
CPT0068280003
Tumor
0.0
CPT0130410003
Tumor
0.0
CPT0091050003
Tumor
0.0
CPT0090440003
Tumor
0.0
CPT0204820003
Normal
0.0
CPT0234560003
Tumor
0.0
CPT0183250004
Tumor
0.0
CPT0218280003
Tumor
0.0
CPT0111150004
Tumor
0.0
CPT0175390003
Tumor
0.0
CPT0126810003
Tumor
0.0
CPT0146480004
Tumor
0.0
CPT0091820003
Tumor
0.0
CPT0233320003
Tumor
0.0
CPT0241170003
Tumor
0.0
CPT0175560003
Tumor
0.0
CPT0236420003
Tumor
0.0
CPT0091610003
Tumor
-0.1
CPT0130270003
Tumor
-0.1
CPT0227400003
Tumor
-0.1
CPT0221200003
Tumor
-0.1
CPT0207210003
Tumor
-0.1
CPT0234930004
Tumor
-0.1
CPT0233120003
Tumor
-0.1
CPT0112600003
Normal
-0.1
CPT0175260003
Tumor
-0.1
CPT0217420003
Tumor
-0.1
CPT0195510003
Tumor
-0.1
CPT0234790003
Tumor
-0.1
CPT0237410004
Tumor
-0.1
CPT0197210003
Tumor
-0.1
CPT0102790003
Tumor
-0.1
CPT0237060004
Tumor
-0.1
CPT0175120003
Tumor
-0.1
CPT0069890003
Tumor
-0.1
CPT0115860003
Normal
-0.1
CPT0221650003
Tumor
-0.1
CPT0083980003
Tumor
-0.1
CPT0063430003
Tumor
-0.1
CPT0007740003
Tumor
-0.1
CPT0204600003
Tumor
-0.1
CPT0123350003
Tumor
-0.1
CPT0223820003
Normal
-0.1
CPT0146380004
Tumor
-0.1
CPT0086260003
Tumor
-0.1
CPT0237690004
Tumor
-0.2
CPT0225380003
Tumor
-0.2
CPT0126830003
Normal
-0.2
CPT0202020008
Tumor
-0.2
CPT0209020004
Tumor
-0.2
CPT0197740003
Tumor
-0.2
CPT0219360003
Tumor
-0.2
CPT0237550004
Tumor
-0.2
CPT0209490003
Tumor
-0.2
CPT0245830003
Tumor
-0.2
CPT0202350004
Tumor
-0.2
CPT0105420003
Tumor
-0.3
CPT0023470003
Tumor
-0.3
CPT0128890003
Tumor
-0.3
CPT0136640003
Tumor
-0.3
CPT0191710003
Tumor
-0.3
CPT0115830003
Tumor
-0.4
CPT0147680004
Tumor
-0.4
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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.
The Human Protein Atlas project is funded
