We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
WIPF1 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
10.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
62.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
41.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
38.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
37.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
34.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
32.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
31.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
30.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
29.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
26.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
24.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
24.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
23.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
23.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
21.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
21.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
21.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
20.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
20.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
20.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
19.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
17.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
17.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
17.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
17.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
16.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
16.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
16.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
16.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
16.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
15.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
15.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
15.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
15.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
15.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
15.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
14.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
14.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
14.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
14.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
14.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
14.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
14.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
13.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
13.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
13.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
13.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
13.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
12.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
12.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
12.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
12.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
12.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
12.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
12.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
12.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
12.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
11.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
11.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
11.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
11.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
11.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
11.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
10.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
10.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
10.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
10.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
10.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
10.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
10.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
9.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
9.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
9.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
9.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
9.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
8.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
8.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
8.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
8.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
8.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
8.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
8.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
8.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
8.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
8.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
7.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
7.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
7.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
7.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
7.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
7.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
7.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
7.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
7.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
7.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
7.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
7.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
7.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
7.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
6.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
6.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
6.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
6.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
5.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
5.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
5.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
5.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
5.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
5.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
5.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
5.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
5.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
5.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
5.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
5.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
4.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
4.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
4.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
4.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
4.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
4.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
4.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
3.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
3.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 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.
WIPF1 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
35.6
Number of samples
486
Samples
Sample
Description
TPM
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
108.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
105.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
102.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
101.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
88.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
76.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
75.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
75.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
73.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
73.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
72.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
70.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
70.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
69.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
69.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
69.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
68.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
67.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
67.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
67.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
65.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
65.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
65.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
64.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
64.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
64.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
64.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
64.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
63.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
63.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
62.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
62.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
62.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
62.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
61.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
60.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
60.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
60.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
60.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
59.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
58.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
58.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
58.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
58.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
57.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
57.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
57.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
56.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
56.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
56.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
56.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
55.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
55.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
55.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
55.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
54.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
54.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
54.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
54.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
54.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
53.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
53.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
53.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
53.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
52.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
52.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
52.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
51.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
50.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
50.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
49.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
49.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
48.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
48.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
46.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
45.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
45.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
45.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
45.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
44.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
44.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
43.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
43.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
43.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
43.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
42.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
42.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
42.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
42.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
42.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
41.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
41.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
41.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
41.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
40.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
40.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
39.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
39.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
39.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
38.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
38.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
38.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
38.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
38.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
38.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
37.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
37.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
36.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
36.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
36.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
36.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
36.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
36.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
36.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
36.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
36.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
35.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
35.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
35.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
35.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
35.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
35.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
34.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
34.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
34.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
34.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
34.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
34.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
33.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
33.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
33.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
33.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
33.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
33.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
33.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
33.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
33.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
33.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
32.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
32.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
32.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
32.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
32.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
32.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
32.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
32.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
32.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
32.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
32.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
32.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
32.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
31.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
31.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
31.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
31.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
31.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
31.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
31.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
31.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
30.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
30.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
30.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
30.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
30.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
30.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
30.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
30.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
29.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
29.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
29.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
29.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
29.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
28.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
28.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
28.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
28.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
28.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
28.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
28.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
28.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
27.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
27.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
27.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
27.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
26.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
26.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
26.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
26.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
26.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
26.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
26.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
26.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
26.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
26.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
26.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
26.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
26.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
26.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
25.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
25.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
25.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
25.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
25.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
25.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
25.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
25.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
25.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
25.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
25.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
25.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
25.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
24.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
24.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
24.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
24.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
24.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
24.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
24.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
24.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
24.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
24.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
24.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
24.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
24.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
24.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
24.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
24.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
24.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
23.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
23.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
23.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
23.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
23.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
23.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
23.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
23.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
23.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
23.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
23.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
23.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
22.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
22.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
22.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
22.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
22.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
22.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
22.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
22.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
22.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
22.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
22.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
22.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
22.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
22.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
22.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
22.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
22.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
22.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
22.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
21.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
21.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
21.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
21.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
21.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
20.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
20.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
20.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
20.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
20.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
20.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
20.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
20.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
19.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
19.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
19.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
19.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
19.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
19.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
19.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
19.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
19.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
19.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
19.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
18.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
18.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
18.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
18.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
18.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
18.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
18.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
18.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
18.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
18.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
17.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
17.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
17.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
17.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
17.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
16.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
16.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
16.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
16.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
16.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
16.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
15.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
15.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
15.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
15.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
15.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
15.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
15.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
15.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
15.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
15.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
15.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
15.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
15.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
15.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
14.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
14.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
14.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
14.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
14.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
14.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
14.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
14.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
13.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
13.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
13.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
13.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
13.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
13.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
13.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
12.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
12.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
12.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
12.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
11.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
10.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
10.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
9.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
9.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
8.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
7.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
3.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
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.
WIPF1 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
10.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
32.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
30.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
27.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
26.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
26.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
25.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
25.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
21.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
17.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
16.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
15.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
15.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
15.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
14.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
14.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
14.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
13.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
13.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
13.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
13.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
12.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
12.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
11.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
11.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
11.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
11.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
11.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
11.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
10.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
9.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
9.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
8.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
8.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
8.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
8.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
8.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
7.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
7.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
6.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
6.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
5.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
5.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
5.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
4.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
4.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
4.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
3.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
3.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
3.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
3.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.6
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.
WIPF1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
33.7
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
88.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
85.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
77.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
74.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
72.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
71.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
69.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
67.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
65.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
63.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
62.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
61.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
60.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
60.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
59.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
58.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
58.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
58.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
55.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
55.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
55.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
54.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
52.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
51.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
50.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
49.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
49.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
49.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
48.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
45.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
45.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
43.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
43.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
43.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
42.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
41.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
39.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
39.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
39.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
39.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
39.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
38.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
37.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
37.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
37.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
37.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
36.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
35.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
34.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
34.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
34.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
33.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
32.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
31.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
31.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
31.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
30.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
29.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
28.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
28.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
28.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
28.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
28.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
28.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
27.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
27.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
27.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
27.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
27.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
26.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
26.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
26.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
26.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
26.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
25.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
25.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
25.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
25.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
25.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
25.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
24.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
24.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
24.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
24.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
23.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
23.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
23.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
23.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
23.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
23.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
23.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
23.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
22.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
21.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
21.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
21.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
21.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
21.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
21.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
21.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
20.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
20.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
20.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
20.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
19.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
19.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
19.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
18.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
18.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
18.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
18.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
18.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
18.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
17.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
17.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
17.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
17.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
17.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
17.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
17.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
17.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
16.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
16.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
16.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
16.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
14.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
14.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
14.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
12.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
12.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
12.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
12.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
11.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
10.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
10.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
7.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
5.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
5.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.1
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
