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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.
RAB27A 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
13.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
40.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
40.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
39.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
35.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
35.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
33.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
32.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
32.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
32.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
30.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
30.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
29.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
28.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
27.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
26.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
24.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
24.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
23.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
23.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
23.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
23.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
22.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
22.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
22.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
22.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
22.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
21.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
21.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
21.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
21.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
20.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
20.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
20.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
20.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
20.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
19.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
19.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
19.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
18.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
18.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
18.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
18.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
18.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
18.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
18.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
17.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
17.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
17.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
17.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
17.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
17.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
17.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
16.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
16.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
16.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
16.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
15.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
15.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
15.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
15.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
15.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
15.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
15.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
15.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
14.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
14.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
14.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
14.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
14.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
14.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
14.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
13.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
13.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
13.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
13.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
13.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
13.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
12.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
12.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
12.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
12.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
12.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
12.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
12.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
12.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
12.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
11.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
11.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
11.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
11.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
11.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
11.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
11.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
11.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
11.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
11.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
10.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
10.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
10.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
10.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
10.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
10.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
10.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
10.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
10.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
10.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
10.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
9.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
9.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
9.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
9.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
9.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
8.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
8.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
8.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
8.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
8.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
8.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
8.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
8.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
8.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
8.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
8.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
8.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
7.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
7.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
7.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
6.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
6.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
6.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
5.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
5.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
5.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
5.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
4.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
4.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
RAB27A 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
30.4
Number of samples
486
Samples
Sample
Description
TPM
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
82.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
77.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
73.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
73.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
72.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
65.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
64.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
64.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
64.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
63.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
61.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
59.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
59.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
58.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
57.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
55.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
55.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
55.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
55.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
53.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
53.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
53.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
51.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
50.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
50.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
49.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
49.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
49.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
48.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
48.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
48.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
47.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
47.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
45.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
45.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
44.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
44.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
43.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
43.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
42.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
42.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
42.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
42.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
42.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
41.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
41.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
41.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
41.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
41.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
41.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
41.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
40.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
40.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
40.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
39.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
39.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
39.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
39.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
38.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
38.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
38.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
38.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
38.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
37.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
37.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
37.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
37.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
37.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
37.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
37.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
37.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
36.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
36.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
36.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
36.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
36.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
36.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
36.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
35.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
35.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
35.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
35.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
35.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
34.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
34.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
34.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
34.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
34.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
34.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
34.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
34.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
34.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
34.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
34.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
34.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
33.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
33.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
33.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
33.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
33.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
33.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
33.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
33.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
33.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
33.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
32.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
32.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
32.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
32.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
32.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
32.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
32.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
32.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
32.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
32.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
31.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
31.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
31.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
31.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
31.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
31.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
31.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
31.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
31.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
31.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
31.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
31.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
31.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
31.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
30.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
30.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
30.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
30.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
30.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
30.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
30.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
30.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
30.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
29.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
29.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
29.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
29.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
29.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
29.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
29.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
29.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
29.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
29.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
29.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
28.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
28.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
28.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
28.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
28.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
28.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
28.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
28.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
28.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
28.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
28.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
28.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
28.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
28.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
28.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
28.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
28.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
28.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
28.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
28.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
27.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
27.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
27.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
27.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
27.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
27.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
27.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
27.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
27.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
27.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
27.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
27.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
27.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
27.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
27.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
27.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
27.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
27.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
27.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
26.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
26.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
26.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
26.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
26.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
26.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
26.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
26.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
26.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
26.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
26.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
26.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
26.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
26.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
25.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
25.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
25.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
25.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
25.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
25.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
25.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
25.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
25.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
25.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
25.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
25.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
25.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
25.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
25.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
25.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
24.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
24.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
24.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
24.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
24.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
24.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
24.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
24.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
24.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
24.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
24.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
24.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
24.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
24.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
24.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
23.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
23.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
23.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
23.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
23.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
23.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
23.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
23.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
23.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
23.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
23.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
23.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
23.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
23.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
23.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
22.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
22.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
22.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
22.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
22.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
22.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
22.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
22.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
22.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
22.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
22.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
22.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
22.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
22.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
22.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
22.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
21.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
21.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
21.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
21.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
21.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
21.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
21.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
21.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
21.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
21.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
21.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
21.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
21.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
21.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
21.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
20.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
20.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
20.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
20.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
20.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
20.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
20.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
20.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
20.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
20.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
20.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
20.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
20.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
20.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
20.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
20.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
20.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
20.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
19.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
19.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
19.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
19.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
19.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
19.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
19.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
19.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
19.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
19.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
19.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
19.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
19.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
19.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
19.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
19.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
18.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
18.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
18.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
18.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
18.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
18.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
18.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
18.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
18.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
18.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
18.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
17.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
17.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
17.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
17.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
17.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
17.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
17.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
17.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
16.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
16.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
16.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
16.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
16.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
16.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
16.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
15.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
15.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
15.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
15.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
15.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
15.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
14.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
14.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
14.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
14.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
14.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
13.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
13.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
13.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
13.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
13.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
13.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
13.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
12.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
11.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
11.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
10.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
10.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
10.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
10.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
10.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
9.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
9.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
9.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
9.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
8.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
6.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RAB27A 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
14.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
65.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
60.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
36.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
32.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
25.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
24.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
22.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
21.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
20.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
20.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
19.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
19.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
19.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
18.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
17.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
17.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
16.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
16.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
16.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
16.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
15.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
15.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
15.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
15.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
15.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
14.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
14.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
13.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
13.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
13.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
12.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
12.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
12.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
12.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
12.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
11.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
11.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
10.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
10.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
10.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
9.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
9.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
8.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
8.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
8.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
7.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
7.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
7.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
6.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
6.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
6.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
6.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
5.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
5.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
4.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
4.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
RAB27A is potential prognostic, high expression is unfavorable 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
29.2
Number of samples
207
Samples
Sample
Description
TPM
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
83.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
72.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
65.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
58.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
57.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
56.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
55.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
53.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
52.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
50.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
49.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
49.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
48.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
48.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
46.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
45.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
45.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
45.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
43.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
43.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
43.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
42.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
42.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
42.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
40.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
36.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
36.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
36.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
35.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
35.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
35.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
34.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
33.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
33.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
32.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
32.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
32.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
31.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
31.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
31.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
31.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
31.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
31.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
30.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
30.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
30.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
30.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
30.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
29.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
29.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
29.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
29.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
29.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
29.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
29.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
29.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
28.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
28.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
28.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
28.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
28.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
28.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
27.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
27.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
27.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
27.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
27.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
27.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
27.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
27.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
27.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
26.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
26.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
26.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
26.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
26.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
26.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
26.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
26.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
26.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
25.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
25.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
25.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
24.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
24.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
24.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
24.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
24.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
24.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
24.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
23.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
23.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
23.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
22.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
22.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
22.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
21.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
21.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
21.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
21.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
21.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
21.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
20.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
20.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
20.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
20.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
20.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
20.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
20.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
19.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
19.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
19.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
19.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
19.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
18.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
18.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
18.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
18.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
17.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
17.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
17.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
17.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
17.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
17.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
17.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
17.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
17.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
16.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
16.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
16.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
15.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
15.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
15.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
14.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
14.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
14.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
13.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
13.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
13.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
13.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
13.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
13.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
12.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
12.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
12.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
12.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
11.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
11.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
11.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
11.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
10.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
10.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
10.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
9.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
7.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
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Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
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Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
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Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
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Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
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Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
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Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
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Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
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Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
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Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
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Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
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Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.8
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
