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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.
PPM1A 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
16.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
70.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
44.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
35.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
35.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
33.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
33.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
31.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
30.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
29.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
28.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
28.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
28.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
28.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
27.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
27.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
27.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
26.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
26.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
26.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
26.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
26.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
25.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
25.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
24.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
24.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
24.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
24.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
24.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
24.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
23.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
22.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
22.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
22.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
22.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
21.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
21.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
21.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
21.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
21.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
21.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
21.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
21.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
21.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
21.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
21.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
20.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
20.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
20.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
20.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
20.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
20.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
20.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
20.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
20.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
19.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
19.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
19.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
19.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
19.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
18.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
18.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
18.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
18.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
18.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
18.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
18.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
17.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
17.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
17.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
17.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
17.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
17.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
17.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
17.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
17.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
17.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
17.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
17.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
16.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
16.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
16.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
16.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
16.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
16.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
16.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
16.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
16.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
16.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
15.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
15.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
15.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
15.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
15.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
15.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
15.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
15.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
15.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
15.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
15.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
15.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
15.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
15.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
15.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
15.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
15.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
15.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
15.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
15.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
15.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
14.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
14.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
14.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
14.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
14.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
14.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
14.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
14.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
14.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
14.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
14.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
14.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
13.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
13.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
13.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
13.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
13.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
13.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
13.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
13.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
13.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
13.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
13.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
13.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
13.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
13.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
13.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
13.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
12.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
12.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
12.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
12.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
12.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
12.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
12.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
12.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
12.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
11.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
11.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
11.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
11.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
11.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
11.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
11.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
11.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
10.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
10.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
10.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
10.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
10.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
9.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
9.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
9.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
9.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
9.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
9.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
8.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
8.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
8.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
7.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
7.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
6.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
6.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
6.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
6.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
PPM1A 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
47.5
Number of samples
486
Samples
Sample
Description
TPM
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
85.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
84.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
83.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
81.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
80.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
75.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
72.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
71.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
71.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
70.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
69.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
69.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
68.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
68.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
68.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
67.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
67.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
67.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
67.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
67.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
66.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
65.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
65.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
65.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
65.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
64.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
64.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
64.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
64.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
63.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
63.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
63.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
63.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
63.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
63.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
62.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
62.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
62.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
62.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
61.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
61.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
61.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
61.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
61.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
61.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
61.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
61.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
61.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
61.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
60.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
60.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
60.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
60.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
59.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
59.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
59.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
59.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
59.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
59.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
59.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
58.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
58.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
58.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
58.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
58.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
58.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
58.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
57.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
57.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
57.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
57.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
57.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
57.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
57.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
57.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
57.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
56.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
56.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
56.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
56.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
56.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
56.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
56.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
56.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
56.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
56.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
56.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
56.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
55.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
55.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
55.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
55.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
55.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
55.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
55.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
55.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
55.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
55.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
55.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
55.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
55.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
55.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
55.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
55.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
55.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
54.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
54.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
54.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
54.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
54.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
54.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
54.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
54.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
54.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
54.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
54.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
53.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
53.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
53.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
53.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
53.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
53.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
53.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
53.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
53.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
52.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
52.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
52.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
52.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
52.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
52.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
51.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
51.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
51.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
51.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
51.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
51.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
51.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
51.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
50.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
50.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
50.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
50.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
50.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
50.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
50.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
50.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
50.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
50.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
50.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
50.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
50.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
50.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
49.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
49.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
49.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
49.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
49.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
49.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
49.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
49.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
49.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
49.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
49.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
48.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
48.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
48.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
48.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
48.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
48.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
47.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
47.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
47.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
47.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
47.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
47.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
47.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
47.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
47.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
47.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
47.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
47.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
47.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
47.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
47.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
47.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
46.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
46.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
46.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
46.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
46.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
46.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
46.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
46.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
46.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
46.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
46.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
46.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
46.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
46.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
45.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
45.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
45.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
45.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
45.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
45.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
45.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
45.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
45.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
45.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
45.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
44.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
44.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
44.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
44.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
44.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
44.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
44.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
43.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
43.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
43.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
43.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
43.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
42.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
42.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
42.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
42.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
42.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
42.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
42.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
41.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
41.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
41.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
41.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
41.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
41.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
41.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
41.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
41.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
40.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
40.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
40.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
40.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
39.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
39.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
39.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
39.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
39.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
39.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
39.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
39.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
39.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
39.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
38.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
38.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
38.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
38.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
38.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
38.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
37.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
37.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
37.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
37.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
37.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
36.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
36.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
36.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
36.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
36.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
36.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
36.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
35.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
35.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
35.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
34.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
34.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
34.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
34.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
34.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
33.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
33.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
33.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
32.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
32.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
32.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
32.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
30.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
30.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
30.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
30.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
29.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
28.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
28.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
25.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
24.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
24.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
23.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
23.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
22.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
22.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
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.
PPM1A 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
16.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
33.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
29.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
27.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
27.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
26.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
26.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
26.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
25.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
25.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
24.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
24.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
23.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
22.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
22.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
21.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
21.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
21.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
20.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
20.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
20.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
20.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
20.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
20.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
20.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
20.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
20.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
20.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
20.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
19.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
18.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
18.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
17.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
17.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
17.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
17.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
17.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
16.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
15.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
15.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
15.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
15.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
15.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
14.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
13.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
13.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
13.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
13.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
13.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
13.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
13.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
12.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
12.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
11.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
11.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
10.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
10.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
8.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
7.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
7.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.3
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.
PPM1A 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
40.9
Number of samples
207
Samples
Sample
Description
TPM
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
77.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
71.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
68.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
65.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
64.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
64.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
63.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
58.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
58.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
57.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
57.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
56.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
56.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
56.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
55.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
55.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
54.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
54.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
54.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
53.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
52.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
51.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
50.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
50.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
49.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
49.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
48.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
47.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
46.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
46.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
45.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
45.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
44.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
44.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
43.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
43.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
43.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
43.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
42.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
41.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
41.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
41.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
41.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
41.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
40.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
40.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
40.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
40.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
40.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
39.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
39.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
39.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
39.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
38.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
38.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
38.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
38.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
38.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
37.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
36.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
36.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
36.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
35.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
35.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
35.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
34.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
34.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
31.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
30.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
30.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
27.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
27.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
27.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
26.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
26.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
25.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
25.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
25.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
24.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
24.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
21.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
19.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.9
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.8
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.8
b2400046-1d25-429d-a821-6040a6
Tumor
0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
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Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
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Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
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Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
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Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.4
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
