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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.
RBM12 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
26.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
75.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
57.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
55.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
53.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
53.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
52.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
51.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
47.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
47.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
47.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
46.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
46.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
45.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
44.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
43.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
43.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
42.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
42.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
42.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
41.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
40.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
40.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
40.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
39.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
39.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
39.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
38.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
37.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
37.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
37.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
36.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
36.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
36.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
36.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
36.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
36.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
35.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
35.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
35.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
34.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
34.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
34.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
33.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
33.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
33.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
33.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
33.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
32.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
32.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
32.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
32.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
32.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
31.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
31.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
31.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
31.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
31.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
31.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
30.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
30.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
30.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
30.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
30.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
30.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
30.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
30.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
30.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
30.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
30.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
30.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
29.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
29.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
29.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
29.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
29.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
28.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
28.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
28.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
28.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
28.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
28.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
28.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
28.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
28.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
28.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
27.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
27.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
27.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
27.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
27.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
27.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
26.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
25.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
25.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
25.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
25.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
25.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
25.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
25.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
24.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
24.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
24.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
24.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
24.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
24.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
23.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
23.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
23.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
23.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
23.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
23.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
23.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
22.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
22.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
22.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
22.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
22.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
22.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
22.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
21.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
21.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
21.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
21.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
21.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
20.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
20.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
20.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
20.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
20.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
20.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
20.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
20.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
19.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
19.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
19.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
19.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
19.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
19.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
19.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
18.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
18.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
18.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
18.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
18.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
18.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
18.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
18.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
18.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
18.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
17.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
17.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
17.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
17.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
16.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
16.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
15.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
15.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
15.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
15.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
15.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
15.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
15.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
15.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
15.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
14.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
14.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
14.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
14.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
13.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
13.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
13.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
13.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
12.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
11.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
11.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
10.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
RBM12 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
105.4
Number of samples
486
Samples
Sample
Description
TPM
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
236.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
189.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
187.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
179.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
177.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
170.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
169.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
166.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
164.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
162.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
160.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
160.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
159.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
158.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
157.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
157.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
156.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
155.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
155.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
154.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
154.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
152.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
151.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
151.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
149.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
149.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
147.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
147.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
147.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
146.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
145.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
143.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
143.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
142.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
142.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
142.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
142.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
141.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
140.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
139.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
138.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
138.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
137.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
137.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
136.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
136.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
136.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
136.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
135.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
135.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
135.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
135.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
134.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
134.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
134.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
133.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
133.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
132.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
132.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
131.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
131.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
131.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
131.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
131.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
131.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
130.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
129.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
129.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
129.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
129.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
128.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
128.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
128.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
127.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
126.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
126.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
126.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
126.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
125.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
125.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
125.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
125.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
124.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
124.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
124.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
123.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
123.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
123.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
123.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
123.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
123.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
123.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
123.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
123.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
123.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
123.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
122.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
122.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
122.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
122.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
121.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
121.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
120.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
120.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
120.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
119.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
119.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
119.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
119.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
118.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
118.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
118.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
118.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
118.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
118.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
118.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
117.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
117.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
117.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
117.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
117.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
116.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
116.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
116.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
116.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
116.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
116.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
116.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
116.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
116.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
116.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
116.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
115.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
115.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
115.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
115.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
115.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
115.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
115.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
114.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
114.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
113.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
113.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
113.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
113.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
113.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
113.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
113.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
112.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
112.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
112.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
112.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
112.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
112.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
111.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
111.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
111.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
111.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
111.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
111.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
111.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
111.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
111.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
111.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
110.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
110.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
110.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
110.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
110.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
110.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
110.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
110.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
110.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
110.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
110.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
110.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
109.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
109.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
109.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
109.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
109.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
109.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
109.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
109.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
109.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
108.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
108.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
108.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
108.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
108.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
108.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
108.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
108.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
108.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
107.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
107.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
107.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
107.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
107.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
106.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
106.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
106.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
106.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
106.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
106.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
106.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
105.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
105.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
105.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
105.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
105.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
105.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
105.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
105.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
104.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
104.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
104.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
104.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
104.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
104.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
104.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
104.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
104.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
103.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
103.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
103.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
103.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
103.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
103.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
103.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
103.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
103.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
102.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
102.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
102.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
102.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
102.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
102.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
101.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
101.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
101.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
101.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
101.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
101.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
101.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
101.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
101.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
101.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
101.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
100.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
100.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
100.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
100.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
100.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
100.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
100.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
100.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
99.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
99.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
99.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
99.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
99.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
99.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
99.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
98.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
98.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
98.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
98.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
98.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
98.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
97.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
97.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
97.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
97.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
97.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
97.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
97.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
97.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
97.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
97.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
97.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
97.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
97.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
96.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
96.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
96.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
96.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
96.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
96.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
96.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
96.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
96.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
96.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
96.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
96.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
96.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
96.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
96.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
95.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
95.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
95.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
95.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
95.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
95.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
95.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
95.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
95.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
95.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
95.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
94.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
94.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
94.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
94.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
94.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
94.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
94.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
94.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
94.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
94.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
94.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
94.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
94.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
94.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
94.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
94.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
93.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
93.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
93.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
93.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
93.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
93.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
93.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
93.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
93.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
93.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
92.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
92.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
92.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
92.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
92.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
92.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
92.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
92.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
92.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
92.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
92.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
91.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
91.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
91.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
91.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
91.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
91.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
91.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
90.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
90.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
90.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
90.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
90.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
90.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
90.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
90.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
90.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
90.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
90.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
89.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
89.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
89.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
89.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
89.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
89.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
89.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
89.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
89.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
89.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
89.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
89.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
89.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
88.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
88.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
88.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
88.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
88.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
88.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
88.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
87.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
87.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
87.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
87.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
87.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
87.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
87.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
87.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
87.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
87.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
87.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
86.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
86.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
86.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
86.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
86.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
86.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
86.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
85.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
85.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
85.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
85.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
84.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
84.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
84.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
84.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
84.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
84.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
84.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
84.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
84.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
84.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
84.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
84.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
84.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
84.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
83.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
83.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
83.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
83.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
82.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
82.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
82.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
82.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
82.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
82.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
82.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
82.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
82.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
82.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
81.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
81.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
81.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
81.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
81.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
81.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
81.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
81.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
81.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
80.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
80.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
80.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
80.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
80.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
80.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
80.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
79.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
79.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
79.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
79.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
79.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
79.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
78.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
78.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
78.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
78.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
78.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
77.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
77.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
77.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
77.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
76.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
76.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
75.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
74.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
73.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
73.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
72.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
72.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
71.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
71.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
70.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
69.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
68.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
68.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
68.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
66.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
66.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
65.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RBM12 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
27.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
57.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
53.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
48.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
47.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
44.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
44.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
42.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
42.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
41.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
41.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
41.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
40.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
40.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
39.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
37.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
35.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
34.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
33.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
33.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
33.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
33.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
32.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
31.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
29.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
29.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
29.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
27.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
27.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
27.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
26.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
26.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
26.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
25.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
25.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
25.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
25.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
25.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
25.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
24.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
24.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
24.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
23.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
23.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
22.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
21.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
21.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
21.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
21.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
20.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
20.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
18.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
18.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
16.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
16.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
16.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
16.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
15.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
15.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RBM12 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
103.7
Number of samples
207
Samples
Sample
Description
TPM
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
178.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
164.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
164.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
158.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
156.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
156.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
156.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
155.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
153.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
151.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
150.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
144.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
144.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
143.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
143.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
141.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
140.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
139.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
139.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
136.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
134.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
134.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
133.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
133.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
131.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
131.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
130.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
130.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
130.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
130.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
129.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
129.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
128.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
127.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
127.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
126.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
125.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
124.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
124.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
124.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
123.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
123.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
123.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
122.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
121.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
119.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
119.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
118.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
118.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
118.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
117.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
117.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
115.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
115.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
115.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
115.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
114.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
114.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
114.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
114.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
113.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
113.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
113.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
112.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
112.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
112.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
112.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
111.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
111.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
110.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
110.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
110.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
110.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
110.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
109.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
109.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
109.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
108.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
108.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
108.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
108.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
107.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
107.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
107.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
106.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
106.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
106.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
106.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
106.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
105.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
105.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
105.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
104.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
104.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
104.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
104.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
103.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
103.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
103.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
103.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
103.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
103.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
103.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
103.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
102.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
102.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
101.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
101.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
100.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
100.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
100.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
100.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
99.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
99.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
99.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
98.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
98.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
98.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
98.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
98.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
97.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
97.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
96.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
96.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
95.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
95.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
95.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
94.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
93.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
93.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
93.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
92.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
92.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
92.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
92.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
91.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
91.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
91.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
91.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
91.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
90.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
90.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
90.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
90.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
90.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
90.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
90.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
89.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
89.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
89.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
88.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
88.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
88.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
88.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
87.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
87.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
87.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
86.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
85.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
85.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
85.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
84.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
84.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
84.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
84.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
83.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
83.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
83.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
82.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
81.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
81.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
80.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
79.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
79.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
79.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
79.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
78.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
78.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
78.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
78.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
77.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
77.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
76.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
76.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
76.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
76.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
75.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
75.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
75.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
74.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
74.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
74.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
73.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
73.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
73.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
73.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
71.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
70.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
69.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
68.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
67.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
64.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
63.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
63.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
54.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.4
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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
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
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Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
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Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
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Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
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Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_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
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
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Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
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Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
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Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
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Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
