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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.
RBM39 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
28.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
71.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
68.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
64.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
62.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
61.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
58.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
58.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
57.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
57.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
57.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
56.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
54.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
53.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
53.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
52.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
51.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
50.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
50.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
49.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
49.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
49.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
49.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
49.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
48.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
48.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
48.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
48.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
47.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
46.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
46.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
45.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
45.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
45.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
44.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
44.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
43.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
43.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
43.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
42.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
42.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
42.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
41.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
41.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
41.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
40.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
40.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
39.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
39.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
39.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
38.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
38.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
38.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
38.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
38.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
38.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
37.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
36.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
35.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
35.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
35.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
34.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
34.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
34.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
34.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
32.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
32.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
32.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
32.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
32.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
32.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
31.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
31.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
31.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
31.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
30.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
30.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
30.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
30.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
30.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
30.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
30.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
29.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
29.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
29.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
29.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
29.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
29.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
29.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
29.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
29.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
29.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
28.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
28.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
27.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
27.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
27.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
27.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
26.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
26.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
26.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
26.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
26.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
26.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
25.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
25.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
25.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
25.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
24.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
24.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
24.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
24.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
24.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
24.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
24.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
23.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
23.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
23.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
23.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
23.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
22.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
22.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
22.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
22.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
22.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
22.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
22.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
22.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
22.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
21.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
21.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
21.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
21.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
20.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
20.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
20.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
20.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
19.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
19.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
19.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
18.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
18.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
17.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
17.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
17.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
17.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
17.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
16.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
16.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
16.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
16.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
16.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
16.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
15.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
15.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
15.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
14.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
14.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
13.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
13.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
13.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
12.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
12.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
12.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
12.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
11.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
11.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
11.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
11.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
11.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
11.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
9.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
9.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
8.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
8.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
6.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 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.
RBM39 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
64.8
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
365.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
220.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
206.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
134.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
126.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
122.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
122.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
121.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
118.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
117.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
116.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
111.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
110.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
110.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
108.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
108.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
106.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
105.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
104.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
103.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
101.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
101.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
100.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
100.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
100.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
99.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
99.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
99.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
98.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
97.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
97.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
97.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
97.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
97.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
96.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
95.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
93.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
92.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
92.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
92.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
92.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
91.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
90.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
90.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
90.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
89.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
89.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
89.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
88.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
88.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
88.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
88.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
88.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
88.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
87.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
86.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
86.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
86.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
85.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
85.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
85.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
85.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
84.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
84.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
84.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
84.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
84.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
83.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
83.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
83.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
83.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
83.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
83.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
82.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
82.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
82.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
82.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
82.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
82.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
82.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
82.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
82.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
81.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
81.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
81.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
81.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
80.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
80.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
80.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
80.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
80.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
80.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
79.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
79.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
79.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
78.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
78.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
78.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
77.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
77.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
77.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
77.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
77.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
76.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
75.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
75.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
75.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
75.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
75.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
75.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
75.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
74.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
74.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
73.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
73.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
73.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
73.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
73.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
73.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
73.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
72.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
72.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
72.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
72.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
72.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
72.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
72.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
72.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
72.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
71.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
71.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
71.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
71.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
71.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
71.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
71.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
71.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
71.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
71.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
71.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
70.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
70.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
70.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
69.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
69.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
69.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
69.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
69.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
69.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
69.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
69.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
69.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
69.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
68.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
68.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
68.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
68.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
68.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
67.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
67.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
67.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
67.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
67.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
67.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
67.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
67.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
67.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
66.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
66.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
66.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
66.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
66.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
66.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
66.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
66.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
66.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
66.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
66.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
66.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
66.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
66.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
65.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
65.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
65.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
65.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
65.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
65.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
65.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
65.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
65.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
65.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
65.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
64.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
64.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
64.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
64.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
64.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
64.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
64.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
64.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
64.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
64.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
63.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
63.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
63.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
63.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
63.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
63.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
63.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
63.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
63.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
63.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
63.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
63.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
63.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
62.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
62.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
62.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
62.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
62.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
62.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
62.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
62.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
61.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
61.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
61.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
61.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
61.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
61.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
61.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
61.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
61.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
61.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
60.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
60.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
60.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
60.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
60.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
60.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
59.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
59.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
59.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
59.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
59.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
59.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
59.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
59.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
59.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
59.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
59.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
59.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
59.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
58.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
58.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
58.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
58.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
58.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
58.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
58.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
57.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
57.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
57.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
57.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
57.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
57.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
57.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
57.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
57.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
57.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
57.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
57.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
57.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
56.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
56.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
56.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
56.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
56.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
56.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
56.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
56.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
55.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
55.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
55.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
55.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
55.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
55.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
55.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
55.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
54.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
54.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
54.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
54.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
54.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
54.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
54.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
54.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
54.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
53.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
53.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
53.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
53.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
53.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
52.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
52.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
52.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
52.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
52.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
52.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
52.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
52.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
52.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
52.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
51.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
51.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
51.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
51.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
51.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
51.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
51.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
51.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
51.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
51.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
51.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
51.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
50.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
50.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
50.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
50.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
50.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
50.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
50.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
50.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
50.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
49.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
48.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
48.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
47.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
47.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
47.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
47.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
47.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
47.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
47.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
47.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
46.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
46.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
46.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
46.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
46.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
46.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
46.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
46.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
46.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
46.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
45.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
45.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
45.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
45.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
44.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
43.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
43.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
42.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
42.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
42.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
42.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
42.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
41.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
41.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
41.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
41.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
41.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
41.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
41.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
41.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
40.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
40.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
38.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
38.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
38.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
37.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
36.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
36.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
31.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
25.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
13.4
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.
RBM39 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
33.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
82.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
79.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
72.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
65.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
61.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
60.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
56.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
55.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
54.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
54.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
53.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
53.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
53.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
52.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
50.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
48.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
48.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
48.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
47.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
46.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
46.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
45.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
44.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
44.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
43.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
43.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
43.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
43.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
42.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
41.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
40.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
40.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
38.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
37.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
34.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
34.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
33.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
33.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
33.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
32.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
30.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
29.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
29.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
27.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
27.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
27.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
26.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
26.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
26.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
26.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
25.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
25.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
25.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
24.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
23.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
22.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
20.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
19.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
18.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
17.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
15.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
15.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
13.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
13.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
13.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
13.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
7.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
RBM39 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
71.6
Number of samples
207
Samples
Sample
Description
TPM
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
180.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
142.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
140.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
137.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
128.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
114.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
113.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
111.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
110.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
109.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
109.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
109.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
106.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
106.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
105.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
103.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
103.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
102.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
102.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
101.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
100.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
100.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
99.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
99.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
98.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
97.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
97.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
96.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
96.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
95.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
94.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
94.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
94.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
93.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
93.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
93.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
92.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
92.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
92.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
91.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
91.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
91.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
90.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
90.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
90.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
89.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
87.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
87.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
86.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
86.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
85.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
85.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
85.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
85.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
85.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
83.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
83.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
83.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
83.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
83.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
83.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
83.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
82.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
82.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
82.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
82.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
81.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
81.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
81.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
81.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
80.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
80.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
79.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
78.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
77.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
77.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
76.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
76.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
76.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
76.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
75.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
74.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
74.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
74.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
74.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
73.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
73.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
73.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
73.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
73.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
72.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
72.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
72.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
72.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
72.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
72.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
71.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
71.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
70.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
70.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
70.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
69.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
69.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
69.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
69.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
69.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
69.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
68.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
68.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
68.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
68.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
68.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
66.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
66.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
66.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
65.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
65.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
64.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
64.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
63.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
63.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
63.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
62.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
61.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
61.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
61.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
61.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
60.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
60.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
60.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
60.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
60.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
60.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
60.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
60.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
59.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
59.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
59.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
58.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
58.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
58.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
58.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
58.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
56.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
56.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
55.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
55.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
55.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
53.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
52.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
52.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
51.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
51.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
51.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
50.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
50.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
50.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
48.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
47.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
47.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
47.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
47.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
47.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
46.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
44.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
44.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
42.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
41.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
39.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
36.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
35.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
35.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
32.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
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Tumor
0.2
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Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
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Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
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Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
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Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
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Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
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Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
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Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
