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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.
STAT2 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
9.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
52.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
46.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
33.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
33.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
33.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
29.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
26.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
25.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
25.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
24.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
23.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
23.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
22.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
22.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
21.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
20.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
19.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
18.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
18.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
17.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
16.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
16.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
16.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
15.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
15.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
15.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
15.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
15.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
15.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
14.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
14.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
14.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
14.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
14.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
14.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
13.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
13.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
13.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
13.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
13.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
13.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
13.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
12.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
12.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
12.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
12.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
12.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
12.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
12.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
11.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
11.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
11.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
11.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
11.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
11.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
11.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
10.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
10.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
10.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
10.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
10.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
10.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
10.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
10.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
10.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
9.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
9.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
9.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
9.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
9.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
9.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
9.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
9.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
8.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
8.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
8.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
8.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
8.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
8.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
7.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
7.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
7.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
7.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
7.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
7.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
7.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
7.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
7.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
7.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
7.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
7.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
7.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
7.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
6.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
6.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
6.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
6.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
6.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
6.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
6.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
6.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
6.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
6.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
6.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
6.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
6.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
6.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
6.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
6.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
5.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
5.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
5.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
5.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
5.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
5.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
5.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
5.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
5.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
4.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
4.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
4.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
4.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
4.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
4.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
4.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
4.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
4.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
4.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
4.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
4.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
4.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
3.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
3.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
3.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
2.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
0.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 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.
STAT2 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
26.0
Number of samples
486
Samples
Sample
Description
TPM
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
86.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
74.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
70.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
65.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
65.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
62.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
62.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
61.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
60.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
59.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
58.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
58.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
55.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
54.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
54.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
52.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
52.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
51.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
50.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
50.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
49.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
47.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
47.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
47.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
46.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
45.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
44.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
44.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
43.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
42.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
42.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
42.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
41.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
41.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
41.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
41.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
41.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
40.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
40.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
40.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
40.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
40.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
40.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
39.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
37.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
37.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
37.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
37.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
37.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
36.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
36.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
36.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
35.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
35.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
35.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
35.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
35.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
35.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
34.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
34.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
34.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
34.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
34.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
34.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
34.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
33.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
33.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
33.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
33.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
33.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
33.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
33.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
33.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
33.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
33.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
33.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
32.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
32.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
32.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
32.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
31.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
31.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
31.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
31.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
31.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
30.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
30.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
30.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
30.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
30.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
30.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
30.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
30.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
30.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
29.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
29.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
29.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
29.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
29.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
29.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
29.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
29.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
29.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
29.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
29.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
29.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
29.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
29.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
28.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
28.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
28.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
28.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
28.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
28.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
28.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
28.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
28.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
28.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
28.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
28.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
28.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
27.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
27.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
27.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
27.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
27.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
27.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
27.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
27.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
27.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
26.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
26.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
26.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
26.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
26.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
26.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
26.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
26.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
26.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
26.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
26.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
25.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
25.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
25.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
25.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
25.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
25.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
25.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
25.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
24.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
24.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
24.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
24.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
24.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
24.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
24.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
24.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
24.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
24.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
24.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
24.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
24.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
23.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
23.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
23.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
23.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
23.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
23.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
23.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
23.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
23.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
23.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
23.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
23.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
23.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
23.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
22.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
22.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
22.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
22.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
22.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
22.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
22.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
22.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
22.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
22.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
22.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
22.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
22.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
22.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
22.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
22.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
22.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
22.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
22.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
22.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
22.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
22.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
22.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
22.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
22.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
22.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
21.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
21.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
21.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
21.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
21.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
21.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
21.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
21.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
21.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
21.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
21.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
21.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
21.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
21.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
21.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
21.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
20.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
20.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
20.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
20.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
20.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
20.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
20.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
20.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
20.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
20.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
20.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
20.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
20.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
20.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
20.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
20.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
20.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
20.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
20.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
20.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
19.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
19.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
19.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
19.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
19.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
19.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
19.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
19.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
19.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
19.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
19.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
19.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
19.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
19.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
19.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
19.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
18.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
18.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
18.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
18.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
18.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
18.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
18.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
18.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
18.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
18.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
18.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
18.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
18.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
18.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
18.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
18.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
18.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
18.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
18.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
18.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
18.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
18.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
18.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
18.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
18.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
18.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
18.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
17.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
17.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
17.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
17.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
17.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
17.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
17.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
17.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
17.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
17.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
17.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
17.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
17.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
17.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
17.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
17.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
17.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
17.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
17.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
17.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
17.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
17.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
17.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
17.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
16.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
16.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
16.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
16.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
16.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
16.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
16.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
16.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
16.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
16.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
16.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
16.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
16.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
16.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
16.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
16.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
16.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
16.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
16.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
16.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
16.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
15.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
15.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
15.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
15.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
15.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
15.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
15.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
15.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
15.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
15.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
15.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
15.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
15.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
15.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
14.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
14.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
14.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
14.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
14.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
14.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
14.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
14.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
14.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
14.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
14.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
14.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
14.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
14.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
14.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
13.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
13.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
13.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
13.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
13.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
13.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
13.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
13.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
13.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
13.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
13.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
13.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
12.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
12.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
12.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
12.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
12.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
12.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
12.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
12.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
12.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
11.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
11.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
11.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
11.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
11.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
11.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
11.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
11.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
11.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
11.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
11.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
11.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
10.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
10.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
10.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
10.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
10.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
10.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
10.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
10.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
10.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
10.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
10.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
10.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
9.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
9.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
9.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
9.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
9.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
9.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
8.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
8.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
6.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
4.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
3.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
2.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
STAT2 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
7.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
31.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
24.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
20.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
20.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
18.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
18.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
17.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
16.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
12.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
11.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
11.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
11.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
10.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
10.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
9.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
9.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
9.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
8.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
8.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
8.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
8.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
8.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
8.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
7.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
7.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
7.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
7.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
7.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
7.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
7.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
7.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
7.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
7.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
6.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
6.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
6.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
6.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
6.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
6.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
5.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
5.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
5.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
5.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
5.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
4.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
4.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
4.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
4.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
4.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
4.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
4.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
4.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
4.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
4.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
3.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
3.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
3.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
3.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
STAT2 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
21.9
Number of samples
207
Samples
Sample
Description
TPM
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
67.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
53.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
50.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
44.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
41.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
40.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
38.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
38.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
37.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
36.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
35.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
34.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
34.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
34.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
33.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
32.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
32.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
32.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
31.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
31.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
31.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
30.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
30.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
29.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
29.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
29.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
28.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
28.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
28.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
28.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
27.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
27.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
27.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
27.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
26.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
26.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
26.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
25.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
25.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
25.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
25.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
25.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
25.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
24.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
24.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
24.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
24.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
24.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
24.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
23.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
23.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
23.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
22.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
22.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
22.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
22.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
21.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
21.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
21.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
21.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
21.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
21.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
21.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
20.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
20.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
20.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
20.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
20.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
19.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
19.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
19.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
19.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
19.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
19.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
19.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
19.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
18.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
18.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
18.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
18.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
18.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
18.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
18.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
18.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
18.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
17.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
17.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
17.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
17.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
17.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
17.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
16.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
16.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
16.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
16.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
16.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
16.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
16.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
16.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
16.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
16.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
15.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
15.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
15.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
15.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
15.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
15.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
15.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
14.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
14.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
14.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
14.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
14.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
14.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
14.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
14.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
14.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
14.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
14.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
14.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
14.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
13.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
13.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
13.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
13.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
13.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
13.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
13.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
13.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
13.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
13.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
13.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
13.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
13.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
13.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
13.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
12.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
12.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
12.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
12.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
12.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
12.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
12.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
12.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
12.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
12.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
12.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
11.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
11.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
11.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
11.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
11.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
10.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
10.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
10.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
10.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
10.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
10.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
10.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
10.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
10.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
10.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
9.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
9.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
9.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
9.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
8.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
8.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
7.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
7.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
6.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
6.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.9
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.9
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.2
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
