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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.
ARHGAP21 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
8.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
22.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
21.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
21.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
20.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
18.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
18.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
18.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
17.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
17.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
17.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
17.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
17.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
17.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
16.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
16.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
16.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
16.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
16.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
16.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
16.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
15.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
14.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
14.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
14.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
14.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
14.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
14.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
13.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
13.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
13.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
13.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
12.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
12.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
12.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
12.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
12.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
12.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
12.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
12.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
11.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
11.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
11.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
11.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
11.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
11.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
11.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
11.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
11.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
11.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
11.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
10.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
10.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
10.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
10.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
10.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
10.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
10.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
10.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
10.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
10.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
10.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
10.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
9.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
9.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
9.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
9.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
9.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
9.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
9.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
9.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
9.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
9.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
9.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
9.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
9.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
9.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
9.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
9.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
9.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
9.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
9.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
9.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
9.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
8.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
8.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
8.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
8.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
8.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
8.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
8.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
8.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
8.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
8.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
8.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
8.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
8.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
8.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
8.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
8.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
8.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
7.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
7.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
7.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
7.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
7.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
7.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
7.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
7.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
7.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
7.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
7.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
7.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
7.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
7.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
7.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
7.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
6.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
6.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
6.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
6.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
6.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
6.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
6.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
6.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
6.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
6.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
6.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
6.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
6.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
6.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
5.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
5.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
5.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
5.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
5.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
5.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
5.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
5.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
5.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
5.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
4.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
4.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
4.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
4.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
4.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
4.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
4.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
4.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
3.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
3.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
ARHGAP21 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
39.3
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
94.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
88.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
87.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
81.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
81.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
80.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
76.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
69.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
68.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
66.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
65.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
64.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
62.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
60.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
59.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
59.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
59.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
59.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
58.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
58.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
58.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
57.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
57.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
57.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
56.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
56.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
56.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
56.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
55.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
55.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
54.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
54.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
54.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
53.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
53.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
53.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
52.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
52.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
52.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
51.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
51.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
51.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
51.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
51.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
51.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
51.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
49.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
49.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
48.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
48.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
48.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
48.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
48.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
48.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
48.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
47.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
47.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
47.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
47.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
47.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
47.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
47.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
46.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
46.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
46.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
46.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
46.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
46.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
46.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
45.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
45.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
45.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
45.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
45.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
45.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
44.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
44.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
44.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
44.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
43.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
43.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
43.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
43.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
43.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
43.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
42.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
42.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
42.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
42.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
42.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
42.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
42.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
42.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
42.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
42.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
42.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
41.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
41.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
41.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
41.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
41.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
41.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
41.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
41.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
41.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
41.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
41.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
40.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
40.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
40.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
40.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
40.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
40.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
39.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
39.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
39.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
39.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
39.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
39.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
39.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
39.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
39.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
38.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
38.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
38.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
38.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
38.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
38.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
38.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
38.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
38.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
37.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
37.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
37.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
37.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
37.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
37.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
37.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
37.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
37.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
37.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
36.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
36.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
36.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
36.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
36.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
36.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
36.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
36.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
36.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
36.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
36.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
36.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
35.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
35.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
35.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
35.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
35.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
35.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
35.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
34.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
34.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
34.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
34.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
34.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
34.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
34.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
34.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
34.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
34.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
34.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
33.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
33.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
33.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
33.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
33.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
33.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
33.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
33.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
32.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
32.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
32.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
32.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
32.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
32.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
32.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
32.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
32.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
32.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
32.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
32.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
32.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
32.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
31.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
31.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
31.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
31.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
31.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
30.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
30.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
30.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
30.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
30.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
30.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
30.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
30.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
30.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
30.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
30.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
30.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
30.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
30.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
30.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
29.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
29.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
29.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
29.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
29.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
29.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
29.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
29.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
29.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
29.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
29.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
29.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
28.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
28.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
28.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
28.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
28.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
28.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
28.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
28.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
28.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
28.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
27.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
27.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
27.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
27.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
27.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
27.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
27.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
27.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
27.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
27.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
27.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
27.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
27.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
26.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
26.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
26.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
26.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
26.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
26.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
26.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
26.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
25.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
25.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
25.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
25.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
25.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
25.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
24.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
24.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
24.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
24.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
24.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
24.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
23.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
23.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
23.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
21.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
19.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
17.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
16.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
12.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ARHGAP21 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
7.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
18.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
18.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
18.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
16.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
16.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
14.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
14.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
13.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
12.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
12.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
12.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
11.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
11.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
11.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
11.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
10.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
10.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
10.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
9.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
9.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
9.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
9.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
9.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
8.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
8.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
8.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
8.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
8.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
8.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
8.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
8.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
7.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
7.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
7.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
7.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
7.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
7.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
7.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
7.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
7.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
7.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
6.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
6.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
6.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
5.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
5.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
5.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
5.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
5.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
5.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
4.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
4.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
4.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
3.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
3.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ARHGAP21 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
35.8
Number of samples
207
Samples
Sample
Description
TPM
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
70.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
68.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
66.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
64.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
58.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
56.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
56.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
55.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
53.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
50.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
50.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
50.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
49.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
49.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
47.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
46.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
46.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
45.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
45.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
44.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
43.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
41.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
40.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
40.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
40.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
40.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
40.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
39.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
39.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
39.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
38.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
37.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
37.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
36.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
36.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
35.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
35.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
35.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
35.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
35.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
35.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
35.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
34.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
34.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
34.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
34.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
34.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
33.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
33.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
33.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
33.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
32.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
32.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
32.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
32.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
32.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
32.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
31.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
31.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
31.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
31.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
31.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
30.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
30.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
30.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
29.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
28.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
28.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
28.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
27.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
27.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
26.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
26.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
26.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
25.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
25.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
25.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
25.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
24.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
24.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
24.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
23.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
23.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
22.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
21.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
19.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
19.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
2.0
963fc8db-f412-4427-a198-23f660_D2
Normal
1.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.7
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.9
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-2.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
