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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.
ATF2 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
11.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
30.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
28.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
24.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
21.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
21.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
20.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
20.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
20.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
19.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
19.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
18.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
18.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
18.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
18.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
18.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
17.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
17.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
17.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
17.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
17.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
17.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
17.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
16.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
16.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
16.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
16.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
15.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
15.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
15.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
15.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
15.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
15.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
15.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
14.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
14.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
14.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
14.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
14.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
14.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
14.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
14.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
14.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
14.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
14.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
13.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
13.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
13.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
13.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
13.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
13.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
13.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
13.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
13.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
13.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
13.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
13.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
13.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
13.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
13.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
13.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
13.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
12.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
12.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
12.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
12.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
12.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
12.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
12.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
12.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
12.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
12.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
12.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
12.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
12.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
12.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
12.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
11.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
11.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
11.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
11.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
11.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
11.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
11.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
11.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
11.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
11.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
11.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
11.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
11.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
11.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
11.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
11.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
11.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
11.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
11.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
11.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
11.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
11.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
11.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
11.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
10.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
10.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
10.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
10.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
10.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
10.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
10.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
10.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
10.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
10.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
10.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
10.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
10.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
10.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
10.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
10.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
10.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
10.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
10.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
9.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
9.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
9.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
9.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
9.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
9.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
9.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
9.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
9.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
9.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
9.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
9.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
9.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
9.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
9.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
9.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
9.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
8.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
8.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
8.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
8.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
8.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
8.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
8.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
8.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
8.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
8.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
8.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
8.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
8.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
8.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
8.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
8.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
8.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
8.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
8.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
7.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
7.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
7.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
7.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
7.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ATF2 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
37.7
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
88.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
70.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
64.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
63.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
62.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
62.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
61.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
60.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
60.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
59.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
57.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
56.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
55.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
55.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
55.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
55.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
54.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
54.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
53.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
53.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
53.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
52.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
52.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
52.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
52.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
51.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
51.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
50.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
50.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
49.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
49.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
49.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
49.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
49.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
48.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
48.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
48.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
48.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
48.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
47.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
46.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
46.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
46.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
46.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
46.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
46.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
45.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
45.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
45.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
45.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
45.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
45.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
44.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
44.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
44.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
44.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
44.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
43.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
43.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
43.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
43.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
43.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
43.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
43.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
43.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
43.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
43.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
43.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
42.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
42.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
42.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
42.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
42.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
42.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
42.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
41.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
41.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
41.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
41.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
41.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
41.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
41.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
40.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
40.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
40.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
40.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
40.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
40.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
40.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
40.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
39.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
39.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
39.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
39.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
39.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
39.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
39.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
39.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
39.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
39.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
39.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
38.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
38.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
38.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
38.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
38.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
38.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
38.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
38.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
38.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
38.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
38.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
37.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
37.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
37.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
37.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
37.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
37.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
37.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
37.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
36.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
36.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
36.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
36.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
36.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
36.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
36.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
36.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
36.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
36.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
36.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
36.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
36.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
36.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
36.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
36.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
35.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
35.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
35.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
35.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
35.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
35.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
35.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
35.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
35.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
35.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
35.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
35.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
34.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
34.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
34.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
34.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
34.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
34.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
34.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
34.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
34.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
34.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
34.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
34.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
34.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
34.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
34.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
34.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
34.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
33.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
33.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
33.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
33.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
33.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
33.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
33.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
33.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
33.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
33.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
33.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
32.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
32.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
32.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
32.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
32.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
32.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
32.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
32.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
32.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
32.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
32.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
31.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
31.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
31.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
31.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
31.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
31.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
31.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
31.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
31.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
31.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
31.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
31.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
31.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
30.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
30.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
30.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
30.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
30.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
30.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
30.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
30.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
30.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
30.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
30.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
30.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
29.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
29.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
29.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
29.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
29.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
28.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
28.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
28.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
28.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
28.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
28.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
28.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
28.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
28.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
27.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
27.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
27.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
27.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
27.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
27.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
27.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
27.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
26.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
26.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
26.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
26.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
25.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
25.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
25.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
25.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
25.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
25.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
24.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
24.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
24.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
24.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
24.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
24.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
23.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
23.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
23.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
23.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
23.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
23.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
23.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
23.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
22.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
21.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
21.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
20.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
20.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
20.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
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.
ATF2 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
11.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
23.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
20.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
20.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
18.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
18.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
18.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
17.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
16.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
16.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
15.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
15.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
14.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
14.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
14.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
14.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
14.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
14.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
13.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
13.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
13.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
13.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
13.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
13.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
13.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
13.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
12.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
12.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
12.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
12.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
12.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
11.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
11.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
11.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
11.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
11.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
11.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
11.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
11.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
11.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
10.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
10.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
10.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
10.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
9.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
9.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
9.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
9.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
8.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
8.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
8.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
8.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
8.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
7.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
7.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ATF2 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
34.5
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
63.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
62.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
60.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
49.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
47.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
45.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
45.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
45.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
44.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
44.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
42.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
42.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
42.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
42.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
41.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
40.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
40.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
39.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
39.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
39.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
39.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
39.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
39.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
38.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
38.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
38.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
38.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
37.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
37.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
37.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
37.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
36.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
36.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
36.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
36.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
36.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
35.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
35.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
35.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
35.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
35.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
35.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
35.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
34.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
34.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
34.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
34.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
33.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
33.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
33.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
33.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
32.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
32.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
31.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
30.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
30.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
30.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
29.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
29.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
29.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
29.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
28.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
28.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
27.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
27.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
27.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
27.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
27.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
26.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
26.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
26.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
26.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
26.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
25.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
25.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
25.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
25.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
25.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
24.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
24.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
24.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
23.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
22.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
22.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
22.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
21.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
19.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
19.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
17.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
16.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
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Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
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Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
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Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
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Tumor
0.1
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Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
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Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
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
