We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
GMPS 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
36.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
79.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
67.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
66.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
62.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
61.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
61.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
61.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
58.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
58.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
56.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
55.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
55.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
54.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
53.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
52.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
51.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
51.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
51.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
50.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
50.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
49.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
49.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
48.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
48.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
48.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
47.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
47.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
47.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
47.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
47.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
46.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
46.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
46.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
45.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
45.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
45.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
44.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
44.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
44.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
43.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
43.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
43.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
43.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
43.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
43.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
43.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
42.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
42.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
42.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
42.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
42.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
42.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
42.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
42.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
41.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
41.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
41.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
41.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
40.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
40.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
40.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
40.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
40.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
40.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
40.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
40.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
39.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
39.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
39.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
39.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
39.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
39.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
39.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
39.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
39.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
38.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
38.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
38.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
38.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
38.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
38.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
38.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
38.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
38.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
38.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
38.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
38.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
38.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
37.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
37.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
37.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
37.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
37.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
37.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
36.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
36.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
36.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
36.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
36.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
36.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
36.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
36.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
35.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
35.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
35.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
35.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
35.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
35.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
35.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
35.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
35.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
35.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
35.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
34.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
34.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
34.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
34.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
34.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
34.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
34.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
34.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
34.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
34.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
34.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
34.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
34.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
34.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
33.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
33.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
33.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
33.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
33.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
33.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
32.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
32.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
32.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
32.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
32.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
32.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
32.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
32.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
32.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
31.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
31.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
31.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
31.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
31.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
30.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
30.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
30.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
30.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
30.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
29.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
29.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
29.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
29.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
29.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
28.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
28.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
28.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
28.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
28.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
28.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
27.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
27.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
27.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
27.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
27.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
27.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
26.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
26.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
26.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
26.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
26.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
26.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
26.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
26.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
25.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
25.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
25.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
25.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
25.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
25.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
25.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
25.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
25.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
24.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
24.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
24.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
24.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
23.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
23.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
23.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
23.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
22.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
22.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
22.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
21.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
21.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
21.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
20.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
20.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
20.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
20.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
18.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
17.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
GMPS 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
52.6
Number of samples
486
Samples
Sample
Description
TPM
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
171.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
132.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
111.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
103.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
103.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
100.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
100.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
99.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
98.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
92.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
90.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
89.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
89.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
85.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
84.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
84.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
83.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
82.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
82.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
81.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
80.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
79.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
79.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
78.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
78.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
77.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
77.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
77.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
76.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
76.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
76.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
75.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
75.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
74.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
73.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
73.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
72.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
72.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
72.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
72.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
72.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
72.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
72.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
72.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
71.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
71.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
71.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
71.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
71.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
70.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
70.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
70.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
69.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
69.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
69.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
69.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
68.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
68.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
68.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
68.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
68.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
68.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
68.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
67.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
67.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
67.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
67.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
67.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
67.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
66.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
66.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
66.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
65.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
65.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
65.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
65.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
65.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
65.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
64.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
64.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
64.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
64.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
64.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
64.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
64.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
64.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
63.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
63.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
63.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
63.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
63.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
63.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
62.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
62.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
62.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
62.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
62.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
62.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
62.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
62.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
62.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
61.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
61.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
61.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
61.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
61.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
61.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
60.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
60.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
60.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
60.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
60.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
59.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
59.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
59.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
59.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
59.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
59.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
59.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
59.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
59.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
59.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
59.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
59.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
58.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
58.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
58.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
58.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
58.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
58.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
58.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
57.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
57.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
57.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
57.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
57.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
57.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
57.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
57.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
56.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
56.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
56.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
56.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
56.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
56.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
56.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
56.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
56.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
56.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
56.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
56.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
56.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
55.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
55.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
55.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
55.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
55.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
55.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
55.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
54.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
54.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
54.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
54.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
54.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
54.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
54.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
54.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
54.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
53.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
53.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
53.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
53.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
53.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
53.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
53.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
53.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
52.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
52.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
52.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
52.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
52.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
52.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
52.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
52.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
51.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
51.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
51.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
51.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
51.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
51.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
51.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
51.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
51.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
51.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
51.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
51.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
51.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
51.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
51.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
50.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
50.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
50.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
50.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
50.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
50.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
50.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
50.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
49.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
49.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
49.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
49.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
49.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
49.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
49.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
48.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
48.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
48.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
48.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
48.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
48.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
48.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
48.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
47.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
47.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
47.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
47.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
46.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
46.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
46.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
46.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
45.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
45.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
45.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
45.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
45.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
45.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
45.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
45.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
45.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
44.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
44.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
44.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
44.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
43.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
43.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
43.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
43.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
43.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
42.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
41.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
41.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
41.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
41.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
41.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
41.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
41.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
41.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
41.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
40.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
40.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
39.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
39.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
39.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
39.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
39.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
38.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
38.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
38.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
38.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
37.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
37.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
37.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
36.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
36.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
36.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
36.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
35.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
35.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
35.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
34.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
33.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
33.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
33.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
33.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
32.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
31.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
31.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
30.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
29.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
27.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
26.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
26.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
25.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
24.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
23.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
23.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
14.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
GMPS 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
37.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
73.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
72.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
65.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
64.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
60.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
60.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
58.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
57.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
55.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
54.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
51.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
50.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
50.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
49.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
48.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
47.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
47.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
46.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
45.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
44.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
44.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
44.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
44.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
43.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
43.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
42.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
42.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
41.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
40.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
40.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
39.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
39.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
39.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
38.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
38.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
38.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
37.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
37.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
37.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
36.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
35.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
35.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
34.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
34.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
33.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
31.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
30.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
29.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
29.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
28.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
28.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
27.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
27.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
27.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
25.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
25.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
25.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
25.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
25.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
24.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
23.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
20.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
17.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
16.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
9.0
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.
GMPS 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
46.7
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
101.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
91.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
90.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
89.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
72.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
72.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
71.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
70.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
70.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
69.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
69.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
69.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
69.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
67.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
66.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
66.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
65.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
64.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
64.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
63.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
63.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
63.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
63.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
62.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
61.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
61.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
59.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
59.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
59.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
59.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
58.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
58.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
58.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
58.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
58.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
57.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
57.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
57.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
57.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
56.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
56.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
55.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
55.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
54.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
54.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
53.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
53.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
52.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
52.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
50.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
50.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
50.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
50.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
50.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
49.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
49.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
49.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
49.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
49.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
49.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
48.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
48.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
48.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
48.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
48.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
47.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
47.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
47.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
46.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
46.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
46.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
46.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
46.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
46.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
46.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
45.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
45.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
45.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
45.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
44.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
44.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
44.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
43.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
42.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
42.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
41.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
41.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
41.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
41.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
40.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
39.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
38.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
37.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
34.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
34.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
34.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
33.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
33.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
31.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
28.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
27.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
26.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
22.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.7
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
903d5fe0-970a-47be-a97f-3cc914_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.