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.
TNFAIP3 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
16.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
112.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
71.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
70.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
45.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
44.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
43.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
41.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
41.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
39.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
36.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
35.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
34.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
33.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
33.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
33.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
32.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
31.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
31.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
30.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
29.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
29.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
27.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
27.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
26.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
26.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
26.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
26.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
26.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
26.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
26.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
26.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
25.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
25.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
25.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
25.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
24.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
24.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
24.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
23.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
23.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
23.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
22.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
22.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
22.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
22.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
21.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
21.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
21.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
20.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
20.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
20.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
19.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
19.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
19.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
19.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
18.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
18.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
18.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
18.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
18.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
18.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
17.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
17.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
17.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
17.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
16.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
16.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
16.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
16.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
16.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
15.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
15.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
15.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
15.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
15.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
15.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
15.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
15.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
15.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
15.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
15.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
15.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
15.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
14.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
14.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
14.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
14.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
14.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
14.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
14.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
13.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
13.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
13.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
13.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
13.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
12.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
12.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
12.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
12.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
12.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
12.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
12.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
12.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
12.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
11.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
11.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
11.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
10.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
10.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
10.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
10.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
10.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
10.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
10.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
9.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
9.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
9.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
9.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
9.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
9.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
9.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
8.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
8.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
8.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
8.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
8.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
7.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
7.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
7.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
7.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
7.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
7.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
7.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
7.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
6.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
6.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
6.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
5.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
5.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
5.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
4.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
4.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 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.
TNFAIP3 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
94.4
Number of samples
486
Samples
Sample
Description
TPM
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
450.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
349.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
349.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
308.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
285.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
270.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
260.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
239.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
237.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
236.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
231.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
231.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
229.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
224.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
221.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
208.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
204.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
198.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
197.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
195.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
194.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
192.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
192.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
190.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
190.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
189.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
189.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
187.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
185.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
184.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
184.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
181.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
181.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
179.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
179.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
175.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
173.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
173.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
171.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
171.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
170.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
167.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
167.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
165.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
159.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
158.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
158.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
155.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
154.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
154.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
153.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
152.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
151.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
151.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
149.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
149.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
145.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
145.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
144.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
144.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
142.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
141.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
140.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
140.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
140.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
139.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
139.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
136.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
135.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
135.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
134.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
134.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
134.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
133.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
133.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
133.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
132.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
130.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
129.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
129.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
129.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
128.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
128.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
128.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
128.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
127.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
126.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
125.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
124.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
124.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
123.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
123.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
123.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
122.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
122.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
122.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
122.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
121.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
121.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
121.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
121.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
121.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
121.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
121.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
120.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
120.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
119.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
119.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
119.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
119.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
119.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
117.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
116.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
116.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
116.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
116.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
115.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
115.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
115.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
115.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
115.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
115.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
115.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
114.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
113.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
113.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
112.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
112.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
110.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
110.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
110.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
109.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
109.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
108.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
108.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
108.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
108.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
107.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
107.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
107.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
106.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
106.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
106.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
105.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
105.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
105.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
105.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
105.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
104.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
104.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
104.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
104.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
103.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
103.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
103.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
103.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
103.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
102.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
102.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
102.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
102.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
102.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
102.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
102.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
102.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
101.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
101.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
101.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
101.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
100.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
100.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
99.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
99.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
98.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
98.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
98.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
97.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
97.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
97.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
97.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
97.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
97.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
96.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
96.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
96.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
96.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
96.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
95.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
95.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
95.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
94.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
94.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
94.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
94.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
93.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
93.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
93.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
93.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
93.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
93.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
92.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
92.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
92.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
91.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
91.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
91.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
91.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
90.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
90.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
90.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
90.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
90.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
90.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
89.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
89.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
89.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
89.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
89.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
89.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
88.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
88.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
88.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
88.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
87.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
87.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
87.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
87.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
87.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
87.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
87.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
86.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
86.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
86.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
85.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
85.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
85.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
85.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
85.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
85.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
84.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
84.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
84.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
84.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
84.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
84.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
84.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
84.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
84.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
84.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
84.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
83.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
83.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
83.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
82.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
81.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
81.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
81.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
80.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
80.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
80.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
80.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
80.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
79.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
79.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
79.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
79.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
78.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
78.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
78.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
78.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
77.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
77.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
77.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
77.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
77.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
77.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
76.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
76.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
76.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
75.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
75.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
75.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
75.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
75.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
75.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
75.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
75.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
74.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
74.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
74.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
74.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
74.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
73.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
73.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
73.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
73.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
73.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
72.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
72.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
72.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
72.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
71.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
71.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
71.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
71.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
71.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
70.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
70.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
70.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
70.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
70.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
70.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
70.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
70.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
69.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
69.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
69.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
69.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
69.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
69.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
69.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
69.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
69.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
69.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
68.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
68.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
68.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
68.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
68.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
68.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
67.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
67.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
66.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
66.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
65.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
65.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
65.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
65.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
65.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
64.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
64.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
64.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
64.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
64.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
64.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
64.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
64.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
63.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
62.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
62.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
62.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
62.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
61.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
61.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
60.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
60.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
60.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
60.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
60.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
60.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
60.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
60.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
60.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
59.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
59.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
59.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
59.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
59.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
58.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
58.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
58.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
58.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
57.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
57.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
57.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
57.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
56.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
56.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
55.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
55.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
55.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
53.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
53.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
53.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
53.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
53.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
53.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
53.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
52.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
52.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
52.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
52.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
51.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
51.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
50.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
50.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
50.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
50.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
49.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
49.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
48.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
48.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
47.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
47.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
47.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
46.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
46.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
46.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
46.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
46.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
45.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
45.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
44.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
44.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
44.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
44.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
43.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
43.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
43.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
42.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
42.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
42.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
41.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
41.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
40.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
40.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
39.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
39.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
38.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
37.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
37.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
35.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
35.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
34.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
34.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
31.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
30.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
30.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
29.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
28.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
27.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
26.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
23.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
16.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.6
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.
TNFAIP3 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
16.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
60.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
45.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
39.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
39.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
35.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
34.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
33.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
32.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
31.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
30.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
30.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
27.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
25.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
23.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
23.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
22.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
22.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
21.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
19.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
19.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
18.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
18.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
18.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
17.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
16.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
16.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
15.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
15.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
15.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
15.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
15.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
14.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
14.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
14.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
14.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
13.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
13.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
13.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
12.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
12.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
12.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
11.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
10.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
10.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
10.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
10.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
10.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
9.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
9.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
8.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
8.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
8.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
7.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
6.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
5.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
5.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
3.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.4
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.
TNFAIP3 is potential prognostic, high expression is favorable 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
92.1
Number of samples
207
Samples
Sample
Description
TPM
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
411.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
352.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
328.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
311.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
265.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
263.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
256.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
255.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
216.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
212.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
210.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
200.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
200.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
197.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
190.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
179.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
176.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
174.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
171.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
171.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
170.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
170.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
167.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
164.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
156.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
155.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
154.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
149.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
145.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
145.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
138.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
129.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
127.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
127.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
126.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
124.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
124.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
123.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
121.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
121.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
119.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
118.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
117.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
115.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
115.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
114.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
113.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
111.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
111.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
110.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
109.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
108.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
106.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
106.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
105.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
105.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
104.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
103.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
103.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
102.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
101.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
100.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
100.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
99.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
98.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
95.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
95.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
95.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
95.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
95.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
93.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
93.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
93.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
93.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
93.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
93.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
92.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
92.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
91.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
91.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
91.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
91.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
90.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
90.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
89.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
87.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
87.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
86.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
86.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
84.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
84.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
84.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
83.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
83.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
81.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
80.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
78.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
78.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
77.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
77.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
76.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
76.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
76.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
75.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
75.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
75.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
74.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
73.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
73.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
73.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
72.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
71.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
71.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
71.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
70.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
70.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
70.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
69.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
69.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
68.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
68.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
68.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
66.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
66.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
65.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
65.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
64.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
63.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
63.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
62.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
62.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
62.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
61.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
61.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
61.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
61.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
60.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
60.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
60.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
59.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
59.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
58.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
56.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
56.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
55.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
54.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
54.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
53.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
53.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
53.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
52.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
51.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
49.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
49.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
48.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
45.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
44.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
44.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
43.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
40.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
38.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
35.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
35.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
31.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
29.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
27.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
26.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
25.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
22.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
19.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
18.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
17.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
16.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.3
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
