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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.
PDP1 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
12.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
67.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
52.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
42.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
40.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
36.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
33.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
30.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
26.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
26.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
26.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
24.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
23.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
23.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
23.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
21.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
21.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
20.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
20.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
19.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
18.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
18.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
18.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
18.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
18.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
18.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
18.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
18.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
18.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
18.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
17.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
17.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
17.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
17.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
16.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
16.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
16.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
16.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
16.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
16.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
16.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
15.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
15.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
15.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
15.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
15.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
15.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
15.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
15.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
15.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
14.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
14.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
13.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
13.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
13.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
13.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
13.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
13.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
13.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
13.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
12.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
12.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
12.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
12.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
12.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
12.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
12.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
12.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
11.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
11.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
11.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
11.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
11.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
11.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
11.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
11.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
11.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
11.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
10.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
10.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
10.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
10.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
10.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
10.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
10.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
10.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
10.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
10.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
10.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
10.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
9.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
9.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
9.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
9.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
9.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
9.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
9.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
9.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
9.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
9.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
9.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
8.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
8.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
8.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
8.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
8.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
8.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
8.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
8.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
8.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
7.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
7.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
7.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
7.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
7.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
7.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
7.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
7.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
7.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
7.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
7.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
7.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
7.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
7.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
7.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
7.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
7.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
6.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
6.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
6.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
6.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
6.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
6.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
6.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
6.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
6.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
6.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
6.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
5.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
5.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
5.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
5.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
5.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
5.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
5.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
5.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
5.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
5.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
4.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
4.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
4.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
3.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
3.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 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.
PDP1 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
38.8
Number of samples
486
Samples
Sample
Description
TPM
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
163.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
139.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
137.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
129.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
126.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
124.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
117.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
116.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
112.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
109.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
108.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
101.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
99.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
96.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
93.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
90.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
90.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
90.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
87.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
85.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
85.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
84.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
81.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
80.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
79.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
78.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
74.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
73.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
72.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
72.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
72.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
71.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
70.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
70.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
69.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
69.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
68.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
68.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
67.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
67.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
66.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
66.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
65.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
63.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
63.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
63.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
62.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
61.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
61.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
61.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
60.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
59.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
58.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
58.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
58.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
57.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
57.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
57.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
56.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
56.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
56.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
55.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
55.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
55.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
53.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
53.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
52.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
52.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
52.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
52.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
52.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
52.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
51.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
51.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
51.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
51.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
50.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
49.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
48.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
48.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
46.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
46.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
46.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
45.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
45.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
45.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
44.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
44.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
44.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
44.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
44.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
44.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
43.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
43.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
43.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
42.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
42.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
42.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
42.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
42.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
42.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
41.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
41.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
41.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
41.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
40.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
40.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
40.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
39.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
39.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
39.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
39.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
39.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
38.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
38.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
38.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
37.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
37.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
37.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
37.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
36.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
36.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
36.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
36.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
36.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
36.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
36.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
36.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
36.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
36.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
35.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
35.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
35.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
35.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
35.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
35.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
34.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
34.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
34.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
34.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
34.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
34.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
34.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
34.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
34.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
34.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
33.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
33.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
33.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
33.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
33.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
33.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
33.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
32.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
32.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
32.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
32.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
32.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
32.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
32.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
32.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
32.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
32.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
32.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
32.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
32.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
32.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
32.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
31.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
31.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
31.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
31.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
31.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
31.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
31.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
31.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
31.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
31.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
31.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
31.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
31.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
31.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
30.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
30.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
30.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
30.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
30.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
30.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
29.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
29.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
29.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
29.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
29.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
29.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
29.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
29.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
29.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
29.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
29.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
29.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
29.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
29.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
29.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
28.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
28.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
28.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
28.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
28.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
28.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
28.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
28.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
28.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
28.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
28.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
27.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
27.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
27.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
27.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
27.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
27.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
27.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
27.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
27.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
27.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
27.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
27.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
27.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
27.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
27.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
26.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
26.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
26.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
26.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
26.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
26.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
26.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
26.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
26.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
26.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
26.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
26.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
26.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
26.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
26.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
26.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
25.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
25.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
25.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
25.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
25.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
25.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
25.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
25.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
25.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
25.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
25.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
24.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
24.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
24.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
24.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
24.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
24.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
24.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
24.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
24.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
24.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
24.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
24.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
24.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
24.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
24.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
24.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
24.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
23.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
23.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
23.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
23.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
23.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
23.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
23.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
23.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
23.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
23.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
23.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
23.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
23.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
23.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
23.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
22.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
22.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
22.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
22.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
22.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
22.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
22.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
22.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
22.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
22.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
21.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
21.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
21.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
21.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
21.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
21.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
21.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
21.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
21.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
21.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
21.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
21.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
21.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
21.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
20.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
20.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
20.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
20.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
20.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
20.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
20.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
20.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
20.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
20.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
19.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
19.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
19.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
19.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
19.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
19.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
19.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
19.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
19.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
19.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
19.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
19.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
19.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
19.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
19.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
18.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
18.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
18.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
18.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
18.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
18.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
17.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
17.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
17.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
17.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
16.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
16.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
16.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
15.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
15.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
15.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
15.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
15.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
15.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
13.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
13.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
12.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
11.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
10.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PDP1 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
13.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
86.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
33.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
26.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
23.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
22.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
22.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
22.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
21.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
20.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
20.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
19.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
19.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
18.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
18.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
18.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
17.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
16.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
16.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
16.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
16.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
14.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
13.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
13.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
13.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
13.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
13.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
13.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
12.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
12.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
12.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
12.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
11.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
11.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
11.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
11.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
11.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
11.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
10.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
9.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
9.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
9.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
9.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
8.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
8.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
7.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
7.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
6.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
6.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
6.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
6.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
5.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
5.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.2
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.
PDP1 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
42.2
Number of samples
207
Samples
Sample
Description
TPM
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
144.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
107.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
106.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
105.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
105.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
97.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
96.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
93.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
89.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
87.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
86.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
83.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
83.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
80.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
76.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
71.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
69.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
68.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
68.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
66.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
65.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
64.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
62.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
61.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
60.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
60.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
59.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
59.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
58.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
58.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
56.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
56.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
55.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
55.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
54.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
54.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
54.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
54.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
53.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
52.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
49.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
49.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
49.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
48.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
48.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
46.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
46.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
46.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
45.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
43.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
43.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
42.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
42.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
41.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
41.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
40.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
40.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
40.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
39.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
39.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
39.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
39.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
38.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
38.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
37.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
37.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
36.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
36.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
35.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
35.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
35.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
34.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
33.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
33.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
33.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
33.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
31.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
30.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
30.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
30.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
30.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
29.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
29.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
29.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
28.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
27.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
27.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
27.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
27.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
26.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
26.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
26.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
25.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
25.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
25.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
24.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
24.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
24.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
24.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
24.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
24.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
23.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
23.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
22.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
22.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
22.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
22.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
22.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
21.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
21.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
21.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
20.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
20.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
20.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
19.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
19.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
17.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
17.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
17.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
16.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
13.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.8
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
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Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
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Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
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Normal
0.2
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Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.1
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Normal
0.1
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Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
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Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
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Tumor
0.0
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Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
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Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
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Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
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Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
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Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
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Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.3
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Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.5
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Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
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
