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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.
CRTAP 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
60.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
131.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
125.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
114.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
113.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
109.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
105.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
105.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
100.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
98.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
96.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
95.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
94.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
92.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
92.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
91.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
89.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
89.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
88.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
88.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
88.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
87.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
87.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
87.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
87.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
86.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
86.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
86.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
85.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
85.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
83.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
83.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
83.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
82.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
79.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
79.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
79.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
78.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
78.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
77.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
76.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
76.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
76.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
76.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
75.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
74.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
74.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
73.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
73.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
72.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
72.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
72.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
71.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
71.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
71.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
71.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
71.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
70.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
70.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
69.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
69.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
69.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
69.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
69.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
67.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
67.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
67.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
67.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
67.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
67.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
67.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
67.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
67.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
67.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
66.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
66.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
66.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
66.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
66.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
66.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
66.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
66.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
66.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
66.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
66.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
66.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
65.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
65.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
65.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
64.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
64.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
64.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
64.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
64.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
64.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
63.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
63.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
63.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
63.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
63.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
63.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
62.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
62.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
62.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
61.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
61.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
61.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
61.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
61.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
61.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
61.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
61.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
60.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
60.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
60.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
60.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
60.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
60.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
60.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
60.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
59.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
59.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
59.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
59.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
58.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
58.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
58.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
58.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
58.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
58.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
57.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
57.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
56.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
56.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
56.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
56.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
56.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
55.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
55.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
55.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
55.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
54.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
54.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
54.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
54.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
53.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
53.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
53.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
53.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
53.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
53.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
53.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
53.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
53.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
53.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
52.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
52.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
52.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
52.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
52.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
52.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
51.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
51.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
51.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
51.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
51.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
51.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
51.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
51.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
50.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
50.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
50.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
49.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
49.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
48.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
48.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
48.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
48.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
48.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
48.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
47.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
47.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
47.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
46.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
46.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
46.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
45.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
45.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
45.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
45.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
45.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
44.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
44.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
44.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
43.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
43.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
42.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
42.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
42.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
42.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
42.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
42.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
41.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
41.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
41.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
41.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
41.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
39.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
39.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
39.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
39.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
39.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
39.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
39.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
39.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
37.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
37.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
36.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
36.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
36.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
36.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
35.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
34.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
32.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
32.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
31.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
30.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
30.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
29.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
24.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
CRTAP 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
81.5
Number of samples
486
Samples
Sample
Description
TPM
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
172.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
160.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
158.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
152.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
143.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
139.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
138.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
134.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
133.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
132.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
130.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
129.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
128.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
127.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
127.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
126.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
122.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
122.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
122.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
121.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
120.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
119.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
119.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
119.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
118.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
118.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
118.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
118.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
117.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
117.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
117.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
116.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
116.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
116.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
115.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
115.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
114.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
114.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
113.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
113.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
113.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
112.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
111.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
110.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
109.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
109.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
108.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
108.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
108.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
108.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
108.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
107.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
107.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
106.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
106.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
106.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
105.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
105.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
105.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
104.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
104.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
104.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
104.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
103.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
103.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
103.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
103.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
103.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
102.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
102.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
102.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
102.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
102.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
102.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
102.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
101.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
101.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
101.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
100.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
100.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
100.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
100.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
100.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
100.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
100.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
100.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
100.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
99.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
99.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
99.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
99.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
99.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
99.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
99.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
98.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
98.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
98.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
98.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
98.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
97.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
97.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
97.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
97.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
97.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
96.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
96.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
96.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
96.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
96.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
95.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
95.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
95.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
95.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
95.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
95.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
95.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
95.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
95.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
95.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
95.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
95.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
94.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
94.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
94.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
94.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
94.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
93.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
93.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
93.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
93.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
93.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
93.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
93.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
93.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
93.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
93.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
92.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
92.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
91.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
91.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
91.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
91.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
91.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
91.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
91.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
91.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
91.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
91.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
91.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
91.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
91.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
90.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
90.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
90.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
90.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
90.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
90.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
89.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
89.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
89.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
89.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
89.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
89.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
89.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
89.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
89.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
89.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
89.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
88.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
88.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
88.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
87.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
87.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
87.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
87.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
87.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
87.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
87.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
87.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
87.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
86.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
86.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
86.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
86.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
86.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
86.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
86.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
86.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
86.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
85.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
85.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
85.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
85.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
85.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
85.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
85.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
84.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
84.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
84.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
84.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
84.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
84.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
84.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
84.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
84.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
84.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
84.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
83.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
83.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
83.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
83.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
83.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
83.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
83.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
83.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
83.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
82.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
82.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
82.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
82.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
82.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
82.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
81.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
81.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
81.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
81.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
81.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
81.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
81.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
81.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
81.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
80.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
80.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
80.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
80.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
80.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
80.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
80.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
80.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
80.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
79.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
79.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
79.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
79.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
79.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
79.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
78.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
78.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
78.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
78.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
78.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
78.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
78.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
78.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
78.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
78.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
78.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
78.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
78.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
78.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
78.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
77.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
77.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
77.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
77.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
77.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
77.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
77.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
77.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
77.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
77.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
77.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
77.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
76.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
76.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
76.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
76.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
76.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
75.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
75.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
75.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
75.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
75.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
75.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
75.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
75.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
75.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
75.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
75.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
75.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
75.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
74.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
74.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
74.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
74.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
74.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
74.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
74.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
74.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
73.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
73.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
73.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
73.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
73.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
72.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
72.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
72.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
72.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
72.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
72.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
72.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
72.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
72.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
71.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
71.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
71.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
71.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
71.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
71.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
71.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
71.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
71.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
71.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
71.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
70.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
70.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
70.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
70.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
70.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
70.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
70.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
70.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
70.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
69.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
69.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
69.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
69.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
69.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
69.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
69.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
69.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
69.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
68.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
68.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
68.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
68.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
68.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
68.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
68.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
68.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
68.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
68.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
68.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
67.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
67.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
67.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
66.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
66.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
66.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
66.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
66.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
66.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
66.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
66.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
66.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
66.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
66.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
65.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
65.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
65.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
65.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
65.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
65.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
65.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
65.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
65.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
65.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
64.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
64.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
64.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
64.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
64.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
64.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
64.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
64.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
63.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
63.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
63.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
62.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
62.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
62.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
62.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
62.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
62.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
61.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
61.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
61.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
61.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
61.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
61.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
61.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
60.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
60.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
60.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
59.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
59.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
59.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
59.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
59.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
58.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
58.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
58.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
58.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
58.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
58.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
57.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
57.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
57.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
57.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
56.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
56.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
56.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
56.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
55.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
55.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
55.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
55.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
55.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
55.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
54.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
54.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
53.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
52.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
52.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
52.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
51.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
51.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
51.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
49.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
49.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
46.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
45.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
45.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
44.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
41.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
41.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
39.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
37.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
22.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
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.
CRTAP 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
64.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
113.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
110.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
102.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
94.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
93.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
93.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
91.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
90.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
90.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
88.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
86.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
85.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
83.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
82.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
79.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
79.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
77.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
76.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
76.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
75.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
75.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
74.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
73.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
73.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
73.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
72.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
71.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
71.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
71.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
71.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
70.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
70.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
69.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
69.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
68.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
68.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
67.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
64.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
64.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
64.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
64.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
63.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
63.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
63.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
63.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
62.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
62.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
62.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
61.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
61.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
61.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
60.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
60.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
59.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
58.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
58.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
58.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
58.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
56.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
55.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
55.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
55.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
55.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
54.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
54.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
51.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
50.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
50.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
49.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
49.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
49.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
48.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
48.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
45.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
44.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
43.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
43.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
41.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
41.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
40.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
38.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
37.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
35.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
CRTAP 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
82.3
Number of samples
207
Samples
Sample
Description
TPM
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
186.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
155.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
142.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
139.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
137.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
136.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
133.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
133.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
133.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
128.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
128.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
128.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
127.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
124.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
123.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
121.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
121.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
121.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
121.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
118.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
118.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
117.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
116.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
115.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
115.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
113.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
111.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
110.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
110.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
110.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
108.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
108.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
107.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
106.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
106.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
106.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
105.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
104.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
103.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
102.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
101.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
101.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
100.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
100.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
99.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
98.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
98.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
97.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
97.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
97.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
96.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
96.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
96.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
96.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
94.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
93.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
92.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
92.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
91.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
91.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
90.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
90.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
90.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
89.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
89.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
89.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
89.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
89.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
88.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
88.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
88.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
88.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
88.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
88.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
87.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
87.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
87.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
86.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
86.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
86.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
85.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
85.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
85.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
84.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
84.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
84.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
83.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
83.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
82.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
82.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
81.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
81.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
81.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
81.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
80.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
80.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
80.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
80.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
79.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
79.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
78.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
78.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
78.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
78.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
77.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
77.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
77.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
76.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
76.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
76.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
76.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
76.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
75.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
75.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
75.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
75.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
75.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
74.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
74.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
74.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
74.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
74.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
74.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
73.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
73.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
73.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
72.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
72.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
72.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
72.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
72.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
72.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
71.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
71.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
71.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
71.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
71.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
70.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
70.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
70.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
70.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
69.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
69.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
68.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
68.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
68.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
68.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
67.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
66.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
66.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
65.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
65.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
65.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
65.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
65.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
64.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
64.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
64.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
63.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
63.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
63.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
63.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
62.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
62.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
62.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
62.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
62.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
62.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
61.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
61.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
61.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
60.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
60.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
59.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
59.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
57.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
57.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
57.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
56.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
55.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
54.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
53.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
51.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
51.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
50.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
49.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
49.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
48.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
48.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
48.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
46.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
46.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
44.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
44.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
44.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
40.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
1.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.9
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.9
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.8
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.8
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.8
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.8
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.8
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.8
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-1.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.0
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.7
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
