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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.
SRCAP 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
13.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
70.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
44.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
32.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
32.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
31.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
31.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
27.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
27.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
27.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
26.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
26.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
25.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
25.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
25.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
24.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
24.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
24.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
24.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
23.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
23.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
23.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
23.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
23.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
23.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
23.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
22.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
21.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
21.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
21.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
21.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
20.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
20.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
20.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
20.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
20.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
20.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
20.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
19.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
19.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
19.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
19.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
19.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
18.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
18.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
18.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
18.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
18.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
18.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
18.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
17.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
17.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
17.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
17.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
17.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
17.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
17.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
16.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
16.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
16.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
16.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
16.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
15.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
15.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
15.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
15.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
15.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
15.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
15.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
15.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
15.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
15.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
15.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
15.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
15.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
14.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
14.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
14.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
14.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
14.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
14.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
14.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
13.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
13.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
13.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
13.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
13.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
13.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
13.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
13.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
13.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
13.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
13.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
13.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
12.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
12.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
12.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
12.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
11.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
11.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
11.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
11.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
11.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
11.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
11.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
11.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
10.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
10.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
10.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
10.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
10.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
9.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
9.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
9.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
9.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
9.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
8.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
8.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
8.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
8.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
7.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
7.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
7.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
6.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
6.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
6.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
5.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
5.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
5.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
5.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
5.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
4.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
4.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
3.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
3.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
3.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
SRCAP 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
69.4
Number of samples
486
Samples
Sample
Description
TPM
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
195.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
181.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
146.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
133.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
130.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
129.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
122.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
118.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
113.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
111.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
109.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
107.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
105.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
105.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
105.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
104.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
104.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
104.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
104.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
104.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
103.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
103.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
102.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
99.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
98.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
98.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
97.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
96.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
96.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
95.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
95.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
94.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
94.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
93.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
93.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
92.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
92.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
91.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
91.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
91.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
91.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
90.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
90.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
89.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
89.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
88.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
88.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
88.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
88.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
88.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
88.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
88.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
87.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
87.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
87.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
87.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
87.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
86.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
86.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
86.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
85.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
85.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
84.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
84.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
84.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
84.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
84.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
84.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
83.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
83.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
83.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
83.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
83.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
82.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
82.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
82.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
82.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
82.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
82.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
82.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
81.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
81.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
80.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
80.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
80.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
80.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
80.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
80.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
80.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
80.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
80.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
79.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
79.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
79.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
79.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
79.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
79.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
79.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
79.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
79.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
79.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
79.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
79.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
79.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
79.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
78.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
78.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
78.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
78.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
78.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
78.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
77.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
77.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
77.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
77.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
77.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
77.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
77.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
77.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
77.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
77.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
77.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
77.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
77.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
76.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
76.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
76.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
76.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
76.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
76.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
76.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
75.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
75.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
75.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
75.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
75.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
75.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
75.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
75.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
75.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
75.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
74.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
74.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
74.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
74.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
74.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
74.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
74.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
74.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
74.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
74.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
74.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
73.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
73.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
73.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
73.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
73.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
73.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
73.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
73.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
73.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
73.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
73.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
73.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
73.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
73.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
73.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
72.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
72.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
72.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
72.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
72.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
72.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
72.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
72.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
72.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
72.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
72.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
72.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
72.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
72.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
72.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
72.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
71.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
71.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
71.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
71.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
71.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
71.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
71.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
71.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
71.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
70.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
70.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
70.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
70.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
70.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
70.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
70.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
70.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
70.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
70.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
70.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
70.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
69.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
69.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
69.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
69.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
69.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
69.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
69.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
69.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
69.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
69.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
69.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
69.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
69.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
69.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
68.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
68.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
68.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
68.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
68.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
68.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
68.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
68.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
68.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
68.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
68.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
68.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
68.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
67.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
67.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
67.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
67.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
67.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
67.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
67.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
67.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
67.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
67.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
66.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
66.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
66.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
66.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
66.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
66.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
66.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
66.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
66.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
66.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
66.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
66.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
66.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
66.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
66.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
65.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
65.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
65.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
65.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
65.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
65.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
65.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
65.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
65.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
65.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
64.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
64.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
64.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
64.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
64.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
64.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
64.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
64.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
64.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
64.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
64.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
64.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
64.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
64.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
64.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
64.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
64.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
64.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
63.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
63.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
63.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
63.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
63.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
63.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
63.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
63.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
63.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
63.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
63.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
63.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
63.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
62.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
62.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
62.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
62.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
62.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
62.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
62.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
62.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
62.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
62.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
62.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
62.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
61.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
61.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
61.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
61.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
61.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
61.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
61.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
61.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
61.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
61.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
61.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
61.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
61.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
61.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
60.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
60.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
60.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
60.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
60.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
60.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
60.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
60.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
59.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
59.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
59.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
59.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
59.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
59.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
58.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
58.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
58.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
58.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
58.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
58.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
58.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
58.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
58.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
57.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
57.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
57.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
57.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
57.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
57.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
57.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
56.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
56.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
56.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
56.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
56.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
56.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
56.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
56.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
55.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
55.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
55.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
55.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
55.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
55.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
54.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
54.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
54.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
54.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
54.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
54.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
53.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
53.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
53.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
53.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
53.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
53.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
53.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
52.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
52.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
52.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
52.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
52.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
52.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
52.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
52.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
51.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
51.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
51.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
51.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
51.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
50.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
50.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
50.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
50.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
50.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
49.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
49.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
49.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
49.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
48.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
48.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
48.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
48.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
48.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
47.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
47.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
46.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
45.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
44.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
43.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
43.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
35.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
29.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
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.
SRCAP 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
12.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
32.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
30.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
30.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
30.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
27.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
27.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
26.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
25.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
25.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
25.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
22.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
21.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
21.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
20.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
20.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
20.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
18.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
17.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
16.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
15.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
15.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
15.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
13.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
13.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
13.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
13.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
13.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
13.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
13.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
12.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
12.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
12.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
12.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
12.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
10.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
10.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
10.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
9.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
9.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
9.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
9.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
9.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
6.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
5.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
5.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
5.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
3.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SRCAP is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
69.9
Number of samples
207
Samples
Sample
Description
TPM
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
157.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
136.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
134.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
127.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
106.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
103.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
102.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
99.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
98.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
97.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
96.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
96.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
96.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
96.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
95.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
94.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
92.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
91.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
91.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
91.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
90.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
89.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
88.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
88.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
87.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
87.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
87.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
87.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
87.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
86.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
84.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
84.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
84.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
83.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
83.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
82.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
82.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
82.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
81.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
81.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
81.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
80.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
80.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
79.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
79.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
79.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
78.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
77.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
76.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
76.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
76.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
75.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
75.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
75.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
75.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
75.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
74.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
74.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
74.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
73.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
73.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
73.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
73.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
73.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
73.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
73.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
73.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
73.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
73.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
73.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
72.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
72.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
72.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
72.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
71.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
71.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
71.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
71.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
71.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
70.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
70.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
70.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
70.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
70.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
70.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
70.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
69.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
69.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
69.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
69.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
69.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
69.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
69.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
69.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
69.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
69.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
68.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
68.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
68.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
68.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
68.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
68.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
68.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
67.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
67.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
67.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
67.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
66.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
66.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
66.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
66.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
66.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
66.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
66.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
66.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
65.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
65.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
65.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
65.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
65.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
65.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
65.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
65.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
64.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
64.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
64.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
64.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
64.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
64.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
63.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
63.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
63.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
63.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
63.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
63.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
63.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
63.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
62.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
62.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
62.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
61.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
61.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
61.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
61.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
61.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
61.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
60.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
60.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
59.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
59.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
59.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
59.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
59.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
58.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
58.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
58.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
57.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
57.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
57.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
57.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
57.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
56.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
56.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
56.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
55.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
55.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
53.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
53.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
53.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
52.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
51.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
50.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
50.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
50.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
50.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
49.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
49.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
48.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
47.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
46.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
45.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
45.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
45.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
38.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.9
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
