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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ARHGAP4 is potential prognostic, high expression is unfavorable 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
17.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
80.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
75.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
60.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
59.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
57.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
57.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
54.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
50.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
49.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
48.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
45.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
45.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
45.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
43.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
43.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
41.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
39.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
38.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
38.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
38.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
37.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
37.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
37.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
37.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
36.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
36.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
36.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
35.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
35.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
35.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
34.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
34.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
33.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
32.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
31.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
31.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
29.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
29.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
29.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
28.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
28.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
28.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
27.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
27.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
27.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
27.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
27.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
26.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
26.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
26.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
26.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
25.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
25.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
25.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
25.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
25.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
25.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
24.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
24.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
24.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
24.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
23.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
23.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
23.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
23.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
22.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
22.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
22.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
22.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
22.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
21.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
21.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
21.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
21.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
21.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
21.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
21.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
21.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
21.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
20.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
20.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
20.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
20.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
20.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
20.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
20.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
19.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
19.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
19.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
19.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
19.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
18.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
18.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
18.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
18.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
18.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
17.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
17.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
17.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
16.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
16.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
16.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
16.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
16.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
16.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
16.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
16.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
15.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
15.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
15.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
15.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
14.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
14.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
13.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
13.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
13.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
13.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
13.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
13.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
12.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
12.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
12.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
12.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
11.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
11.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
11.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
11.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
10.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
10.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
10.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
9.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
9.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
9.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
9.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
9.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
9.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
9.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
8.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
8.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
8.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
7.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
7.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
7.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
6.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
6.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
6.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
5.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
5.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
5.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
5.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
5.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
5.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
5.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
4.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
4.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
4.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
4.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
4.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
4.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
4.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
4.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
3.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
3.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
3.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
3.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
3.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
2.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ARHGAP4 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
23.7
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
97.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
84.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
80.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
63.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
62.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
61.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
61.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
57.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
53.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
53.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
53.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
53.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
48.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
47.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
47.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
46.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
45.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
44.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
44.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
43.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
43.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
42.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
42.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
42.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
41.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
40.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
40.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
39.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
39.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
38.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
38.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
38.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
38.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
37.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
37.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
37.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
37.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
37.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
37.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
37.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
37.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
37.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
36.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
36.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
36.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
35.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
35.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
35.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
35.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
34.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
34.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
34.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
34.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
34.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
34.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
34.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
34.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
34.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
34.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
33.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
33.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
33.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
33.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
33.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
33.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
33.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
33.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
33.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
32.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
32.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
32.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
32.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
32.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
32.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
31.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
31.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
31.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
31.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
31.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
31.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
31.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
31.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
31.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
31.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
31.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
31.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
31.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
31.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
31.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
30.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
30.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
30.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
30.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
30.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
30.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
30.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
30.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
30.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
29.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
29.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
29.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
29.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
29.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
29.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
29.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
29.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
29.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
29.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
29.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
29.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
28.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
28.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
28.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
28.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
28.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
28.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
28.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
28.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
28.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
28.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
28.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
27.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
27.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
27.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
27.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
27.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
27.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
27.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
27.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
27.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
27.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
26.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
26.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
26.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
26.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
26.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
26.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
26.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
26.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
26.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
26.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
26.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
26.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
26.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
26.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
26.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
26.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
26.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
25.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
25.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
25.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
25.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
25.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
25.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
25.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
25.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
25.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
25.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
25.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
25.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
25.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
25.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
25.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
24.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
24.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
24.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
24.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
24.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
24.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
24.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
24.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
24.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
23.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
23.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
23.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
23.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
23.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
23.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
23.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
23.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
23.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
23.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
23.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
23.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
23.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
23.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
23.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
22.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
22.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
22.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
22.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
22.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
22.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
22.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
22.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
22.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
22.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
22.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
21.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
21.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
21.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
21.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
21.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
21.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
21.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
21.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
21.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
21.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
21.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
20.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
20.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
20.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
20.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
20.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
20.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
20.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
20.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
20.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
20.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
20.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
19.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
19.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
19.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
19.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
19.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
19.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
19.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
19.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
19.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
19.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
19.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
19.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
19.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
19.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
19.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
18.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
18.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
18.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
18.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
18.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
18.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
18.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
18.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
18.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
18.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
18.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
18.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
18.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
17.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
17.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
17.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
17.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
17.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
17.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
17.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
17.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
17.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
16.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
16.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
16.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
16.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
16.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
16.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
16.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
15.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
15.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
15.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
15.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
15.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
15.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
15.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
15.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
15.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
15.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
14.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
14.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
14.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
14.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
14.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
14.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
14.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
14.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
14.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
13.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
13.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
13.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
13.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
13.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
13.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
13.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
13.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
13.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
13.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
13.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
13.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
13.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
13.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
13.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
13.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
12.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
12.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
12.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
12.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
12.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
12.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
12.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
12.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
12.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
12.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
12.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
12.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
12.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
12.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
11.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
11.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
11.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
11.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
11.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
11.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
11.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
11.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
11.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
10.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
10.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
10.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
10.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
10.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
10.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
10.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
10.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
10.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
10.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
10.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
9.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
9.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
9.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
9.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
9.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
9.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
9.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
9.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
9.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
9.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
9.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
8.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
8.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
8.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
8.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
8.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
8.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
8.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
8.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
8.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
8.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
8.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
8.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
8.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
8.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
7.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
7.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
7.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
7.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
7.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
7.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
7.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
7.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
7.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
7.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
7.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
7.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
7.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
7.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
7.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
6.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
6.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
6.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
6.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
6.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
6.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
6.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
6.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
6.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
6.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
6.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
6.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
6.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
6.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
6.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
6.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
6.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
6.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
5.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
5.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
5.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
5.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
5.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
5.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
5.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
5.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
5.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
5.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
5.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
5.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
4.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
4.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
4.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
4.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
4.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
4.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
3.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
3.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
3.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
3.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
3.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
3.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
0.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ARHGAP4 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
9.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
35.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
34.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
30.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
25.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
25.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
24.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
24.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
23.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
22.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
21.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
20.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
20.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
19.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
18.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
17.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
16.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
16.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
14.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
13.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
11.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
11.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
10.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
10.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
9.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
9.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
9.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
8.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
8.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
8.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
7.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
7.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
6.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
6.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
6.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
5.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
5.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
5.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
5.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
5.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
5.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
4.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
4.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
4.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
3.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
3.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
3.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
3.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
3.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
3.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
3.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
2.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
0.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
0.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
ARHGAP4 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
14.8
Number of samples
207
Samples
Sample
Description
TPM
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
54.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
47.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
42.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
39.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
38.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
35.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
32.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
30.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
29.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
29.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
28.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
28.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
28.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
26.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
25.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
25.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
25.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
24.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
24.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
24.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
23.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
22.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
22.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
22.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
22.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
22.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
22.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
22.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
21.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
21.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
20.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
20.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
20.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
20.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
19.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
19.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
19.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
19.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
19.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
18.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
18.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
18.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
18.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
18.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
18.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
18.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
18.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
17.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
17.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
17.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
17.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
16.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
16.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
16.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
16.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
16.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
16.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
16.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
15.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
15.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
15.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
15.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
15.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
15.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
15.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
14.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
14.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
14.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
14.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
14.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
14.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
14.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
13.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
13.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
13.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
12.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
12.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
12.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
12.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
12.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
12.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
11.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
11.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
11.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
11.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
11.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
11.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
11.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
10.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
10.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
10.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
10.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
10.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
10.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
10.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
10.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
10.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
10.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
10.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
10.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
9.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
9.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
9.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
9.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
9.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
9.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
9.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
9.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
9.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
9.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
9.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
9.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
9.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
8.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
8.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
8.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
8.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
8.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
8.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
8.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
8.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
8.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
8.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
8.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
8.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
8.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
8.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
7.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
7.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
7.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
7.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
7.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
7.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
7.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
7.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
7.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
6.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
6.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
6.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
6.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
6.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
6.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
6.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
6.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
6.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
6.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
6.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
6.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
6.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
6.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
6.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
6.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
6.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
6.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
6.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
5.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
5.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
5.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
5.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
5.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
5.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
5.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
5.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
5.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
5.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
5.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
5.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
5.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
5.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
4.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
4.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
4.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
4.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
4.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
4.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
4.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
4.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
4.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
4.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
4.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
4.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
3.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
3.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
3.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
3.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
3.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
2.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
2.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.9
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.8
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
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Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
