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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.
RPE is not prognostic in Colon 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
31.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
91.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
64.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
63.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
59.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
57.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
57.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
56.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
56.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
53.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
51.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
51.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
49.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
49.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
49.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
48.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
47.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
47.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
47.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
46.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
46.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
45.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
45.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
45.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
44.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
44.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
43.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
43.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
42.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
42.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
42.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
42.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
41.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
41.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
41.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
40.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
40.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
40.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
40.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
40.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
39.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
38.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
38.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
38.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
38.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
38.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
38.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
37.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
37.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
37.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
37.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
37.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
37.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
37.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
36.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
36.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
36.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
36.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
36.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
36.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
35.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
35.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
35.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
35.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
35.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
35.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
35.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
35.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
35.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
35.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
35.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
35.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
34.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
34.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
34.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
34.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
34.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
33.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
33.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
33.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
33.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
33.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
33.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
32.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
31.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
31.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
31.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
31.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
31.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
31.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
31.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
30.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
30.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
30.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
30.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
30.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
30.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
30.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
29.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
29.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
29.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
29.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
29.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
29.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
29.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
29.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
29.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
28.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
28.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
28.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
28.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
28.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
28.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
28.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
28.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
28.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
28.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
28.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
28.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
27.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
27.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
27.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
27.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
27.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
27.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
27.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
27.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
26.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
26.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
26.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
26.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
26.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
25.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
25.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
25.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
25.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
25.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
24.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
24.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
24.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
24.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
23.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
23.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
23.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
23.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
22.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
22.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
22.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
22.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
22.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
22.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
22.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
22.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
22.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
21.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
21.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
21.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
21.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
21.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
21.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
21.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
20.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
20.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
20.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
19.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
19.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
19.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
19.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
19.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
19.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
19.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
19.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
19.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
18.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
18.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
17.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
17.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
16.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
16.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
15.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
15.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
15.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
14.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
14.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
14.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
13.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
13.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
RPE is not prognostic in Colon 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
41.0
Number of samples
486
Samples
Sample
Description
TPM
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
97.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
82.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
77.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
70.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
67.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
66.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
66.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
65.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
65.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
64.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
64.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
63.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
62.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
61.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
60.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
60.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
59.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
59.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
59.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
58.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
58.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
58.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
58.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
57.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
57.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
57.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
56.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
56.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
56.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
56.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
56.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
56.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
55.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
55.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
55.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
55.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
55.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
54.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
54.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
54.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
54.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
53.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
53.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
53.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
53.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
52.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
52.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
52.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
51.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
51.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
50.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
50.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
50.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
50.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
50.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
50.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
50.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
50.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
50.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
49.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
49.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
49.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
49.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
49.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
49.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
48.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
48.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
48.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
48.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
48.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
48.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
48.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
48.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
47.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
47.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
47.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
47.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
47.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
47.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
47.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
47.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
46.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
46.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
46.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
46.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
46.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
46.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
46.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
46.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
46.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
46.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
46.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
45.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
45.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
45.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
45.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
45.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
44.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
44.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
44.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
44.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
44.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
44.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
44.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
44.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
44.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
44.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
44.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
44.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
43.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
43.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
43.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
43.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
43.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
43.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
43.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
43.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
42.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
42.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
42.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
42.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
42.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
42.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
42.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
42.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
42.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
42.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
42.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
42.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
42.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
41.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
41.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
41.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
41.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
41.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
41.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
40.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
40.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
40.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
40.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
40.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
40.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
40.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
40.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
40.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
40.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
40.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
40.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
39.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
39.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
39.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
39.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
39.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
39.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
38.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
38.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
38.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
38.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
38.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
38.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
38.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
38.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
38.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
38.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
37.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
37.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
37.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
37.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
37.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
37.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
37.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
37.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
37.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
37.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
36.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
36.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
36.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
36.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
36.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
36.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
36.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
36.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
36.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
36.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
36.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
36.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
36.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
36.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
36.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
36.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
36.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
36.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
35.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
35.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
35.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
35.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
35.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
35.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
35.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
35.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
35.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
35.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
35.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
35.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
34.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
34.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
34.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
34.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
34.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
34.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
34.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
34.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
34.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
34.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
34.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
34.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
34.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
34.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
34.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
34.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
33.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
33.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
33.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
33.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
33.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
33.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
33.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
33.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
33.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
33.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
33.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
32.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
32.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
32.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
32.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
32.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
32.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
32.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
32.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
32.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
32.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
32.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
32.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
32.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
32.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
32.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
31.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
31.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
31.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
31.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
31.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
31.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
30.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
30.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
30.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
30.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
30.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
30.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
30.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
30.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
29.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
29.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
29.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
29.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
28.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
28.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
28.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
27.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
27.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
27.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
26.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
26.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
26.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
26.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
26.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
26.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
25.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
25.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
25.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
23.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
23.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
20.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 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.
RPE is not prognostic in Rectum 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
31.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
85.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
66.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
59.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
57.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
53.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
53.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
52.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
50.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
47.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
45.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
44.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
43.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
43.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
42.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
41.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
37.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
37.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
37.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
37.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
37.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
36.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
36.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
36.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
35.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
35.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
35.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
35.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
34.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
33.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
33.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
33.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
32.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
31.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
31.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
30.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
30.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
30.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
30.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
29.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
29.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
28.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
28.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
28.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
28.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
27.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
27.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
27.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
27.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
26.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
26.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
25.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
23.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
23.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
22.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
22.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
21.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
20.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
19.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
19.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
18.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
18.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
18.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
18.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
17.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
17.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
RPE is not prognostic in Rectum 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
40.3
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
78.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
62.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
61.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
61.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
57.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
56.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
55.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
54.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
54.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
52.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
52.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
52.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
52.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
51.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
51.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
50.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
50.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
49.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
49.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
48.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
48.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
47.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
47.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
46.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
46.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
46.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
45.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
45.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
45.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
45.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
44.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
44.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
44.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
44.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
43.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
42.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
42.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
42.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
41.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
41.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
41.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
41.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
40.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
40.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
40.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
40.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
40.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
39.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
39.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
39.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
39.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
39.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
38.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
38.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
38.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
37.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
37.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
37.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
37.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
37.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
36.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
36.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
36.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
36.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
35.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
35.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
35.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
35.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
35.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
33.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
33.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
33.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
33.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
33.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
33.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
33.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
33.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
32.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
30.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
30.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
28.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
26.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
26.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
25.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
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Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
-0.1
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Normal
-0.3
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
-0.3
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Tumor
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Tumor
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Tumor
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Normal
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.7
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Tumor
-0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
Show allShow less
COLORECTAL 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
