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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.
PRCP 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
42.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
186.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
178.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
116.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
110.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
104.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
95.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
93.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
80.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
77.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
77.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
75.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
75.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
74.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
74.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
73.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
71.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
71.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
71.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
70.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
69.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
69.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
69.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
68.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
68.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
67.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
67.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
67.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
67.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
66.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
66.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
65.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
65.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
65.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
65.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
64.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
63.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
61.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
60.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
59.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
58.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
57.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
57.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
57.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
57.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
56.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
55.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
55.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
54.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
54.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
54.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
54.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
53.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
52.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
51.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
51.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
49.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
49.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
49.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
49.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
49.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
49.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
49.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
48.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
48.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
48.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
47.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
47.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
47.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
47.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
47.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
46.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
46.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
46.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
46.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
46.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
46.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
46.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
45.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
45.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
45.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
45.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
45.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
45.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
45.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
44.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
44.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
44.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
44.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
44.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
44.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
44.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
44.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
43.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
43.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
43.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
42.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
42.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
41.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
41.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
41.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
41.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
41.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
41.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
40.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
40.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
40.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
40.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
40.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
40.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
39.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
39.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
39.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
39.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
38.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
37.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
37.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
36.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
36.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
36.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
36.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
35.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
35.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
35.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
35.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
35.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
34.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
34.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
34.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
34.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
34.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
34.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
34.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
34.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
34.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
34.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
33.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
32.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
32.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
31.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
31.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
31.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
31.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
31.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
31.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
31.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
31.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
31.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
31.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
31.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
30.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
30.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
29.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
29.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
29.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
29.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
29.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
29.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
29.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
28.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
28.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
28.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
28.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
28.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
27.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
27.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
27.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
27.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
27.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
27.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
27.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
26.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
25.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
25.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
25.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
25.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
25.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
24.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
24.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
24.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
24.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
23.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
23.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
22.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
22.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
21.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
21.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
21.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
21.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
21.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
19.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
19.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
19.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
18.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
18.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
16.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
16.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
16.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
15.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
15.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
13.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
13.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
13.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 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.
PRCP 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
34.2
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
114.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
85.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
77.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
72.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
72.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
72.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
67.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
65.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
65.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
65.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
65.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
64.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
64.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
62.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
60.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
59.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
59.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
57.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
57.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
57.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
57.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
57.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
57.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
56.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
56.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
55.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
55.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
54.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
54.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
54.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
54.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
53.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
53.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
52.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
52.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
52.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
52.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
50.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
50.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
49.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
49.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
49.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
49.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
49.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
49.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
49.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
47.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
46.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
46.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
46.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
46.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
45.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
44.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
44.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
44.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
43.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
43.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
43.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
43.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
43.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
43.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
42.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
42.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
42.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
42.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
42.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
41.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
41.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
41.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
41.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
41.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
40.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
40.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
40.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
39.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
39.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
39.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
39.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
39.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
39.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
39.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
39.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
38.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
38.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
38.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
38.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
38.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
38.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
38.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
38.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
37.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
37.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
37.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
37.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
37.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
37.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
36.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
36.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
36.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
36.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
36.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
36.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
36.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
36.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
36.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
35.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
35.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
35.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
35.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
35.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
35.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
35.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
35.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
34.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
34.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
34.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
34.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
34.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
34.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
34.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
34.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
34.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
34.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
33.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
33.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
33.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
33.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
33.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
33.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
33.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
33.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
33.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
33.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
32.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
32.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
32.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
32.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
32.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
32.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
32.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
32.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
32.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
32.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
32.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
32.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
32.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
31.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
31.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
31.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
31.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
31.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
31.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
31.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
31.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
30.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
30.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
30.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
30.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
30.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
30.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
30.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
30.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
30.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
30.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
29.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
29.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
29.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
29.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
29.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
29.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
29.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
29.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
29.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
29.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
29.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
28.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
28.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
28.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
28.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
28.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
28.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
28.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
28.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
28.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
28.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
28.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
28.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
27.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
27.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
27.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
27.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
27.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
27.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
27.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
27.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
27.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
27.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
27.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
27.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
27.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
26.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
26.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
26.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
26.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
26.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
26.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
26.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
26.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
26.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
25.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
25.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
25.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
25.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
25.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
25.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
25.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
25.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
25.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
25.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
25.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
25.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
25.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
25.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
24.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
24.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
24.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
24.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
24.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
24.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
24.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
24.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
24.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
24.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
24.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
24.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
24.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
24.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
23.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
23.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
23.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
23.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
23.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
23.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
23.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
23.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
23.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
23.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
23.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
22.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
22.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
22.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
22.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
22.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
22.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
22.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
22.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
22.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
22.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
21.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
21.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
21.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
21.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
21.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
21.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
21.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
21.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
21.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
21.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
21.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
21.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
21.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
21.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
20.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
20.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
20.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
20.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
20.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
20.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
20.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
19.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
19.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
19.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
19.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
19.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
19.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
19.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
18.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
18.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
18.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
18.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
18.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
18.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
18.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
18.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
18.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
18.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
18.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
18.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
18.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
17.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
17.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
17.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
17.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
17.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
17.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
17.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
16.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
16.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
16.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
16.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
16.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
16.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
15.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
15.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
15.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
15.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
15.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
15.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
15.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
15.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
15.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
14.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
14.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
14.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
14.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
14.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
13.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
13.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
12.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
12.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
12.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
12.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
11.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
11.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
9.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
8.5
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.
PRCP 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
45.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
116.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
96.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
91.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
88.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
87.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
86.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
82.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
82.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
78.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
75.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
72.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
71.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
64.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
63.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
62.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
61.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
61.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
60.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
59.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
57.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
54.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
54.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
54.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
53.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
53.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
52.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
51.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
51.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
49.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
49.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
48.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
48.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
47.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
46.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
46.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
45.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
45.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
45.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
44.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
43.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
43.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
43.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
42.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
41.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
39.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
39.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
38.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
38.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
38.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
37.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
36.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
36.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
36.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
35.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
34.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
34.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
34.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
33.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
32.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
31.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
30.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
30.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
29.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
28.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
27.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
27.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
26.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
24.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
24.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
24.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
21.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
21.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
17.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
11.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 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.
PRCP 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
34.7
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
78.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
75.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
71.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
70.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
69.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
68.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
67.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
66.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
66.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
65.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
61.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
59.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
59.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
56.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
55.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
54.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
54.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
54.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
54.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
52.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
51.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
51.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
51.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
49.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
49.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
49.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
48.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
48.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
45.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
44.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
44.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
44.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
43.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
42.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
42.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
42.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
42.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
42.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
41.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
41.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
41.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
40.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
40.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
39.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
39.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
39.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
38.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
38.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
38.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
38.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
37.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
37.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
36.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
36.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
36.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
35.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
35.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
35.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
34.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
34.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
33.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
33.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
32.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
31.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
31.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
31.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
30.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
30.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
30.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
30.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
29.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
29.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
29.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
29.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
29.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
29.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
29.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
28.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
28.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
28.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
27.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
27.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
27.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
27.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
27.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
26.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
25.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
25.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
25.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
25.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
24.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
24.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
24.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
24.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
23.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
23.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
23.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
23.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
22.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
22.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
22.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
22.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
22.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
22.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
21.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
21.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
20.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
20.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
20.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
20.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
20.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
20.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
19.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
19.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
19.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
19.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
19.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
18.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
18.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
18.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
18.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
17.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
17.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
17.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
17.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
16.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
16.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
15.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
15.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
15.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
14.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
14.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
13.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
11.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
10.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
9.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
1.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
1.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
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Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
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Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
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Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.7
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
