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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.
RAP1A 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
38.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
115.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
88.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
80.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
75.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
69.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
68.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
65.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
63.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
63.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
63.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
62.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
61.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
60.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
60.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
60.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
59.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
59.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
58.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
55.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
55.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
55.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
55.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
54.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
54.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
54.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
53.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
53.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
53.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
52.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
51.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
51.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
50.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
50.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
49.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
49.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
48.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
48.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
48.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
48.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
48.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
48.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
47.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
47.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
47.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
47.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
47.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
46.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
46.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
46.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
46.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
46.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
46.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
45.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
45.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
45.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
45.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
45.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
45.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
44.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
44.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
44.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
44.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
44.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
43.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
43.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
43.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
43.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
43.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
43.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
43.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
43.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
43.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
42.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
42.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
42.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
42.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
42.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
42.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
42.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
41.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
41.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
40.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
40.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
40.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
40.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
40.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
40.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
40.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
40.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
39.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
39.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
39.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
39.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
39.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
39.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
39.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
39.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
39.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
39.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
39.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
38.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
38.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
38.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
38.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
38.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
38.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
38.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
37.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
37.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
37.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
37.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
37.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
37.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
37.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
36.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
36.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
36.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
36.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
36.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
36.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
36.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
36.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
36.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
36.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
35.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
35.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
35.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
35.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
35.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
35.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
35.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
34.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
34.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
34.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
34.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
34.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
34.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
34.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
34.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
34.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
34.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
34.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
34.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
33.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
33.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
33.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
33.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
33.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
32.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
32.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
32.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
31.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
31.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
31.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
30.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
30.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
30.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
30.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
30.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
30.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
30.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
30.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
30.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
29.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
29.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
29.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
29.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
29.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
29.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
29.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
29.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
29.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
29.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
29.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
29.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
29.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
28.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
28.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
28.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
28.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
27.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
27.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
27.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
27.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
27.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
26.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
26.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
26.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
26.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
25.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
25.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
25.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
25.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
25.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
25.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
24.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
24.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
23.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
23.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
22.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
21.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
21.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
21.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
21.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
21.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
21.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
21.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
20.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
17.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
14.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
14.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
RAP1A 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
37.4
Number of samples
486
Samples
Sample
Description
TPM
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
83.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
69.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
66.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
66.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
65.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
63.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
63.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
62.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
62.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
62.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
61.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
59.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
59.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
59.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
57.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
57.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
57.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
57.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
57.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
56.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
56.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
56.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
55.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
55.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
55.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
55.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
55.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
54.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
53.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
53.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
52.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
52.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
52.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
52.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
52.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
51.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
51.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
50.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
50.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
50.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
50.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
49.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
49.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
49.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
49.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
49.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
48.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
48.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
48.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
48.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
48.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
48.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
47.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
47.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
47.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
47.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
47.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
47.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
47.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
47.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
47.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
46.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
46.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
46.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
46.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
46.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
46.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
46.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
46.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
45.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
45.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
45.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
45.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
45.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
45.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
45.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
44.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
44.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
44.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
44.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
44.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
44.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
44.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
43.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
43.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
42.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
42.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
42.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
42.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
42.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
42.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
42.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
42.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
42.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
42.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
41.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
41.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
41.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
41.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
41.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
41.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
41.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
41.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
41.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
41.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
40.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
40.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
40.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
40.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
40.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
40.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
40.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
40.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
40.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
40.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
40.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
40.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
39.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
39.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
39.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
39.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
39.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
39.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
39.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
38.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
38.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
38.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
38.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
38.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
38.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
37.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
37.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
37.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
37.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
37.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
37.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
37.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
37.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
37.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
37.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
36.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
36.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
36.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
36.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
36.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
36.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
35.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
35.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
35.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
35.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
35.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
35.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
35.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
35.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
35.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
35.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
34.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
34.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
34.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
34.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
34.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
34.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
34.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
34.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
33.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
33.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
33.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
33.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
32.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
32.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
32.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
32.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
32.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
32.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
32.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
32.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
31.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
31.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
31.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
31.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
31.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
31.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
31.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
30.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
30.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
30.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
30.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
30.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
30.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
30.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
30.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
29.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
29.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
29.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
29.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
29.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
29.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
29.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
29.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
29.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
29.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
29.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
29.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
29.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
29.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
29.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
29.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
29.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
28.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
28.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
28.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
28.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
28.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
28.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
28.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
28.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
28.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
28.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
28.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
28.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
27.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
27.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
27.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
27.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
27.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
27.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
27.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
27.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
26.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
26.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
26.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
26.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
26.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
26.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
26.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
26.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
26.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
26.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
26.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
25.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
25.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
25.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
25.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
24.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
24.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
24.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
24.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
24.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
24.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
24.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
24.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
24.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
23.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
23.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
23.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
23.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
23.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
23.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
23.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
23.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
22.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
22.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
22.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
22.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
22.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
22.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
21.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
21.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
21.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
20.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
20.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
20.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
20.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
20.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
20.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
20.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
20.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
20.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
19.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
19.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
19.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
19.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
18.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
18.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
18.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
18.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
18.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
17.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
17.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
17.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
17.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
17.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
17.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
16.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
16.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
16.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
15.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
9.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
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.
RAP1A 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
41.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
85.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
74.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
65.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
64.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
63.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
63.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
58.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
58.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
56.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
55.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
55.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
55.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
54.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
53.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
53.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
51.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
50.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
50.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
49.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
48.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
48.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
48.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
47.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
46.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
46.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
45.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
45.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
44.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
43.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
43.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
43.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
43.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
42.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
42.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
42.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
41.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
40.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
40.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
40.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
39.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
39.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
39.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
39.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
39.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
38.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
38.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
37.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
37.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
36.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
36.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
36.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
35.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
35.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
35.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
35.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
33.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
28.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
28.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
27.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
27.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
27.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
27.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
26.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
26.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
26.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
25.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
25.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
23.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
22.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
21.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
20.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
19.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
18.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
RAP1A 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
40.7
Number of samples
207
Samples
Sample
Description
TPM
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
110.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
76.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
75.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
73.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
72.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
68.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
67.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
66.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
65.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
63.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
63.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
61.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
57.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
57.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
56.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
54.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
54.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
54.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
53.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
53.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
51.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
51.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
50.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
50.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
50.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
49.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
49.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
49.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
49.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
48.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
48.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
46.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
45.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
45.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
45.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
44.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
43.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
42.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
42.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
42.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
41.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
41.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
41.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
41.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
40.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
40.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
40.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
39.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
39.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
38.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
38.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
38.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
38.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
37.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
37.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
37.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
37.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
36.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
36.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
36.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
35.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
35.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
34.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
34.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
33.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
33.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
32.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
32.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
32.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
32.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
32.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
32.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
31.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
30.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
29.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
29.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
28.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
28.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
28.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
26.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
20.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
20.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
18.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.8
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.
The Human Protein Atlas project is funded
