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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PPP1R2 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
25.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
92.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
59.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
51.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
48.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
46.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
46.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
44.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
40.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
40.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
38.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
38.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
38.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
37.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
37.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
37.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
37.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
37.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
36.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
36.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
35.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
35.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
35.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
35.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
35.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
35.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
35.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
35.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
35.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
34.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
34.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
34.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
34.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
33.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
33.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
33.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
33.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
32.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
32.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
32.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
32.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
32.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
32.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
31.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
31.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
31.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
31.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
31.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
31.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
31.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
31.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
30.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
30.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
29.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
29.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
28.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
28.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
28.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
28.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
28.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
28.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
28.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
28.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
27.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
27.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
27.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
27.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
27.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
27.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
26.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
26.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
26.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
26.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
26.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
26.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
26.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
26.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
26.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
26.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
25.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
25.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
25.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
25.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
25.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
25.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
25.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
25.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
25.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
25.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
25.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
25.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
24.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
24.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
24.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
24.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
24.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
24.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
24.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
24.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
24.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
24.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
24.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
23.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
23.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
23.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
23.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
23.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
23.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
23.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
22.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
22.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
22.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
22.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
22.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
22.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
22.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
22.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
22.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
22.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
22.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
22.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
22.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
22.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
21.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
21.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
21.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
21.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
21.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
21.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
21.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
21.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
20.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
20.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
20.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
20.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
20.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
20.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
20.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
20.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
19.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
19.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
19.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
19.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
19.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
19.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
19.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
19.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
19.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
18.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
18.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
18.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
18.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
18.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
18.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
18.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
18.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
18.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
17.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
17.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
17.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
17.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
17.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
17.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
17.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
17.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
17.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
17.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
16.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
16.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
16.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
16.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
16.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
16.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
16.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
16.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
16.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
15.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
15.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
15.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
15.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
15.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
15.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
14.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
14.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
14.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
14.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
13.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
12.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
12.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
11.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 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.
PPP1R2 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
40.5
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
102.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
94.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
93.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
91.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
89.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
86.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
79.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
75.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
73.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
71.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
70.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
68.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
67.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
66.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
65.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
62.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
61.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
61.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
61.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
61.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
60.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
60.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
59.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
58.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
58.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
57.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
56.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
56.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
56.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
56.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
55.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
55.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
55.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
55.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
55.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
55.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
54.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
54.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
54.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
54.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
54.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
54.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
53.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
52.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
52.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
52.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
52.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
51.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
51.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
51.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
51.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
51.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
51.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
50.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
50.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
50.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
50.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
50.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
49.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
49.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
49.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
49.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
49.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
49.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
48.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
48.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
48.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
48.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
48.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
47.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
47.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
47.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
47.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
47.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
47.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
47.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
47.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
46.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
45.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
45.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
45.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
45.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
45.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
45.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
45.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
45.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
45.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
44.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
44.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
44.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
44.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
44.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
44.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
44.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
44.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
43.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
43.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
43.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
43.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
43.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
43.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
43.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
43.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
43.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
42.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
42.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
42.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
42.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
42.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
42.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
42.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
42.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
42.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
41.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
41.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
41.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
41.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
40.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
40.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
40.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
40.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
40.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
40.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
39.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
39.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
39.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
39.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
39.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
39.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
39.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
39.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
39.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
39.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
38.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
38.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
38.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
38.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
38.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
38.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
38.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
37.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
37.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
37.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
37.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
37.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
37.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
37.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
37.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
36.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
36.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
36.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
36.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
36.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
36.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
36.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
36.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
36.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
36.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
36.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
36.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
35.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
35.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
35.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
35.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
35.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
35.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
35.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
35.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
35.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
35.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
35.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
35.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
34.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
34.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
34.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
34.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
34.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
34.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
34.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
34.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
34.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
34.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
34.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
34.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
33.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
33.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
33.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
32.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
32.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
32.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
32.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
32.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
32.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
31.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
31.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
31.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
31.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
31.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
31.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
31.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
30.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
30.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
30.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
30.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
30.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
30.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
30.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
30.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
30.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
30.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
30.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
30.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
30.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
30.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
30.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
29.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
29.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
29.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
29.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
29.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
29.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
29.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
29.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
29.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
28.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
28.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
28.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
28.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
28.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
28.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
28.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
27.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
27.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
27.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
27.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
27.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
27.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
26.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
26.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
26.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
26.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
26.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
26.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
25.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
25.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
25.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
25.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
25.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
25.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
25.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
25.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
24.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
24.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
24.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
24.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
24.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
24.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
23.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
23.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
23.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
23.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
23.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
22.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
22.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
22.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
22.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
21.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
20.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
19.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
16.3
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.
PPP1R2 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
26.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
56.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
50.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
41.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
38.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
37.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
37.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
35.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
34.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
34.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
34.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
34.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
34.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
33.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
33.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
32.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
31.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
30.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
30.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
30.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
30.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
30.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
30.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
30.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
29.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
29.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
29.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
28.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
28.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
27.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
27.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
27.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
26.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
26.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
25.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
25.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
25.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
25.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
25.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
23.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
23.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
23.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
23.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
23.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
23.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
22.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
22.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
22.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
22.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
22.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
21.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
20.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
20.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
20.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
20.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
20.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
19.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
19.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
18.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
18.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
18.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
18.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
17.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
17.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
17.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
17.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
17.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
14.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
13.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.1
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.
PPP1R2 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
37.1
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
74.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
70.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
67.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
60.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
60.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
59.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
58.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
57.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
57.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
56.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
55.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
53.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
53.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
53.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
52.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
52.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
50.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
49.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
49.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
46.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
46.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
46.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
46.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
46.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
45.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
45.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
45.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
44.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
44.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
44.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
43.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
43.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
41.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
41.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
41.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
40.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
40.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
40.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
40.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
40.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
40.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
39.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
39.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
39.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
39.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
39.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
38.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
38.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
38.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
36.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
36.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
36.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
35.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
35.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
35.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
35.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
35.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
35.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
35.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
35.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
34.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
33.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
33.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
32.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
32.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
32.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
32.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
31.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
31.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
30.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
29.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
29.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
28.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
28.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
28.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
28.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
27.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
27.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
27.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
27.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
27.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
26.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
26.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
25.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
25.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
24.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
24.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
23.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
23.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
23.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
23.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
23.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
23.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
23.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
22.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
22.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
21.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
21.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
19.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
19.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
16.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
15.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
12.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.8
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
b2400046-1d25-429d-a821-6040a6
Tumor
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.9
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
