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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.
PPP2R5D 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
24.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
57.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
49.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
44.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
43.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
41.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
40.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
40.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
39.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
38.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
38.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
37.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
37.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
36.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
36.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
35.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
35.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
35.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
34.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
34.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
33.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
32.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
32.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
32.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
32.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
32.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
31.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
31.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
31.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
31.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
31.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
30.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
30.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
30.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
30.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
30.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
30.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
30.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
29.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
29.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
29.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
29.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
29.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
29.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
29.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
29.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
29.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
28.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
28.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
28.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
28.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
28.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
28.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
27.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
27.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
27.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
27.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
27.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
27.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
27.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
26.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
26.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
26.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
26.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
26.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
26.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
26.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
26.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
26.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
26.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
26.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
26.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
25.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
25.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
25.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
25.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
25.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
25.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
25.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
25.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
25.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
24.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
24.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
24.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
24.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
24.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
24.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
24.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
24.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
24.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
24.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
24.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
24.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
23.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
23.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
23.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
23.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
23.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
23.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
23.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
22.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
22.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
22.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
22.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
22.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
22.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
22.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
22.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
21.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
21.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
21.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
21.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
21.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
21.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
21.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
21.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
21.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
21.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
20.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
20.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
20.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
20.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
20.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
20.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
20.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
20.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
19.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
19.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
19.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
19.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
19.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
19.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
19.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
19.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
19.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
18.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
18.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
18.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
18.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
18.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
18.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
18.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
18.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
18.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
17.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
17.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
17.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
17.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
17.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
17.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
16.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
16.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
16.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
16.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
16.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
16.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
16.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
16.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
15.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
15.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
15.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
15.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
14.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
14.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
14.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
13.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
12.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
12.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
12.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 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.
PPP2R5D is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
37.6
Number of samples
486
Samples
Sample
Description
TPM
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
240.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
227.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
194.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
186.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
144.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
109.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
84.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
70.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
70.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
69.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
66.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
66.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
64.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
61.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
60.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
60.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
60.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
59.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
55.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
54.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
54.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
54.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
53.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
53.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
53.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
52.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
52.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
52.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
52.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
51.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
51.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
51.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
50.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
50.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
50.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
50.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
50.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
50.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
49.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
49.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
49.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
49.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
49.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
48.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
48.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
48.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
48.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
47.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
47.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
46.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
46.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
46.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
46.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
45.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
45.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
45.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
45.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
44.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
44.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
44.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
44.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
44.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
44.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
44.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
43.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
43.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
43.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
43.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
43.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
43.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
42.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
42.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
42.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
42.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
42.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
41.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
41.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
41.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
41.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
41.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
41.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
40.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
40.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
40.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
40.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
40.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
40.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
40.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
39.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
39.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
39.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
39.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
39.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
39.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
39.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
39.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
39.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
39.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
39.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
38.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
38.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
38.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
38.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
38.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
38.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
38.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
38.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
38.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
38.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
37.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
37.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
37.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
37.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
37.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
37.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
37.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
37.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
37.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
36.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
36.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
36.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
36.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
36.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
36.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
36.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
36.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
36.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
36.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
36.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
36.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
36.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
36.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
36.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
36.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
36.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
36.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
36.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
36.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
36.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
35.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
35.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
35.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
35.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
35.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
35.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
35.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
35.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
35.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
35.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
35.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
35.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
35.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
35.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
35.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
35.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
34.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
34.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
34.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
34.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
34.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
34.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
34.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
34.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
34.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
34.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
33.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
33.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
33.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
33.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
33.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
33.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
33.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
33.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
33.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
33.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
33.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
33.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
33.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
33.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
33.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
32.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
32.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
32.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
32.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
32.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
32.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
32.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
32.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
32.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
32.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
32.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
32.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
32.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
32.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
32.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
32.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
31.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
31.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
31.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
31.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
31.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
31.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
31.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
31.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
31.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
31.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
31.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
31.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
31.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
30.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
30.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
30.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
30.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
30.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
30.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
30.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
30.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
30.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
30.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
30.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
30.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
30.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
30.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
30.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
30.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
29.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
29.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
29.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
29.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
29.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
29.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
29.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
28.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
28.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
28.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
28.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
28.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
28.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
28.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
28.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
28.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
28.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
28.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
28.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
27.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
27.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
27.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
27.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
27.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
27.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
27.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
27.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
27.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
27.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
26.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
26.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
26.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
26.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
26.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
26.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
26.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
26.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
26.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
26.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
26.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
25.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
25.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
25.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
25.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
25.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
25.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
25.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
25.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
25.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
24.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
24.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
24.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
24.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
24.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
24.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
24.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
24.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
23.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
23.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
23.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
22.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
22.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
22.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
22.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
22.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
22.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
22.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
22.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
22.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
21.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
21.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
21.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
20.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
20.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
20.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
19.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
19.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
19.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
18.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
18.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
17.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
14.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PPP2R5D 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
26.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
90.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
72.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
53.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
50.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
44.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
41.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
38.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
37.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
36.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
36.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
35.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
35.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
35.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
35.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
33.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
33.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
32.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
30.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
30.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
30.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
29.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
29.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
29.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
29.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
28.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
28.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
28.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
28.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
27.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
27.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
27.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
27.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
27.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
26.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
26.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
26.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
25.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
25.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
25.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
25.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
24.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
23.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
23.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
23.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
23.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
22.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
22.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
22.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
22.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
22.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
22.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
21.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
21.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
20.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
20.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
20.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
20.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
18.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
18.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
18.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
17.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
17.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
17.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
17.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
17.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
14.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
14.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
13.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
11.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
9.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
7.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.5
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.
PPP2R5D 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
33.5
Number of samples
207
Samples
Sample
Description
TPM
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
125.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
78.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
58.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
58.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
56.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
55.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
53.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
53.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
53.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
53.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
51.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
50.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
49.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
48.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
47.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
47.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
46.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
45.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
44.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
42.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
42.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
42.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
40.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
40.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
40.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
39.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
38.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
38.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
38.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
38.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
38.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
37.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
37.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
36.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
36.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
36.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
36.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
36.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
35.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
35.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
34.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
33.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
33.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
33.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
33.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
33.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
33.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
32.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
32.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
32.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
31.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
31.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
31.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
31.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
31.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
31.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
31.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
31.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
31.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
30.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
30.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
30.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
30.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
30.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
29.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
29.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
29.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
29.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
29.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
29.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
29.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
28.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
28.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
28.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
28.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
27.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
27.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
27.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
27.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
27.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
27.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
26.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
26.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
26.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
26.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
26.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
25.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
24.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
23.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
23.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
23.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
23.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
22.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
22.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
22.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
21.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
21.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
21.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
20.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
20.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
20.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
20.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
19.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
19.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
18.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
18.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
18.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
17.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
17.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
16.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
15.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
