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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.
NRBP1 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
57.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
111.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
110.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
103.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
102.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
97.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
96.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
93.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
91.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
87.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
86.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
86.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
85.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
85.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
85.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
85.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
84.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
84.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
83.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
83.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
82.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
78.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
77.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
76.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
76.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
74.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
73.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
72.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
72.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
72.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
72.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
71.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
71.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
71.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
69.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
69.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
69.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
69.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
69.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
69.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
69.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
68.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
68.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
68.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
68.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
68.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
67.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
67.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
67.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
67.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
66.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
66.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
66.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
66.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
66.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
66.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
66.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
65.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
65.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
65.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
65.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
64.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
64.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
63.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
63.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
63.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
63.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
63.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
62.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
62.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
62.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
61.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
61.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
61.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
61.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
61.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
61.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
61.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
60.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
60.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
60.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
60.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
59.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
59.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
59.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
59.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
59.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
59.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
59.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
59.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
59.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
59.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
59.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
59.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
59.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
59.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
59.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
59.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
59.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
59.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
58.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
58.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
58.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
58.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
58.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
58.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
58.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
58.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
58.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
58.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
57.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
57.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
57.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
57.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
57.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
57.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
56.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
56.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
56.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
56.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
56.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
56.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
56.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
56.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
56.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
56.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
55.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
55.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
55.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
55.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
55.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
55.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
55.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
55.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
55.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
55.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
55.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
55.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
54.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
54.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
54.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
53.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
53.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
53.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
52.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
52.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
52.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
52.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
52.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
52.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
52.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
51.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
51.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
51.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
51.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
51.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
51.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
51.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
51.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
51.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
51.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
50.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
50.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
50.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
50.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
50.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
50.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
50.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
50.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
50.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
49.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
49.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
49.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
49.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
49.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
49.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
49.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
49.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
48.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
48.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
48.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
48.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
47.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
47.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
47.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
46.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
46.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
46.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
46.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
46.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
46.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
45.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
45.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
44.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
44.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
44.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
44.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
43.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
43.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
43.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
43.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
43.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
43.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
42.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
42.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
42.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
42.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
41.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
41.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
41.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
41.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
41.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
40.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
39.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
39.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
39.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
39.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
39.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
38.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
38.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
38.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
37.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
36.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
36.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
36.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
36.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
36.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
35.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
35.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
34.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
34.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
34.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
32.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
32.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
31.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
30.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
NRBP1 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
57.1
Number of samples
486
Samples
Sample
Description
TPM
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
102.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
97.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
95.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
88.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
88.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
88.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
85.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
85.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
83.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
83.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
83.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
82.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
81.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
81.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
81.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
81.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
80.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
80.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
79.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
79.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
79.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
78.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
78.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
78.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
78.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
78.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
78.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
77.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
77.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
77.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
77.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
77.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
77.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
77.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
76.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
76.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
76.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
76.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
75.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
75.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
75.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
75.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
75.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
74.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
74.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
73.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
73.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
73.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
73.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
73.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
73.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
73.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
72.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
72.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
72.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
72.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
72.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
72.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
72.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
72.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
72.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
71.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
71.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
71.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
71.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
71.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
70.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
70.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
69.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
69.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
69.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
69.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
69.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
69.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
68.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
68.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
68.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
68.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
68.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
68.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
68.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
68.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
68.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
68.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
68.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
68.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
67.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
67.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
67.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
67.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
66.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
66.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
66.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
66.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
66.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
66.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
66.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
66.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
66.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
66.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
65.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
65.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
65.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
65.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
65.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
65.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
65.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
64.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
64.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
64.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
64.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
64.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
64.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
64.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
64.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
64.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
64.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
64.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
64.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
64.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
63.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
63.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
63.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
63.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
63.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
63.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
63.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
63.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
62.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
62.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
62.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
62.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
62.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
62.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
62.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
62.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
62.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
62.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
62.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
61.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
61.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
61.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
61.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
61.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
61.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
61.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
61.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
61.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
61.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
60.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
60.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
60.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
60.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
60.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
60.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
60.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
60.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
59.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
59.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
59.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
59.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
59.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
59.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
59.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
59.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
59.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
59.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
59.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
58.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
58.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
58.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
58.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
58.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
58.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
58.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
58.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
58.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
58.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
58.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
58.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
58.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
58.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
58.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
58.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
58.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
58.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
57.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
57.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
57.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
57.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
57.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
57.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
57.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
57.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
57.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
56.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
56.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
56.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
56.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
56.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
56.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
56.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
56.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
56.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
56.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
56.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
56.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
55.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
55.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
55.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
55.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
55.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
55.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
55.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
55.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
55.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
55.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
55.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
55.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
55.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
55.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
54.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
54.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
54.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
54.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
54.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
54.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
54.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
54.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
54.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
53.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
53.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
53.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
53.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
53.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
53.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
53.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
53.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
53.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
53.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
53.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
53.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
52.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
52.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
52.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
52.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
52.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
52.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
52.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
52.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
52.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
52.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
51.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
51.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
51.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
51.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
51.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
51.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
51.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
51.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
51.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
51.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
50.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
50.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
50.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
50.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
49.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
49.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
49.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
49.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
49.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
49.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
49.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
49.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
49.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
49.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
48.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
48.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
48.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
48.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
48.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
48.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
48.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
48.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
48.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
48.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
48.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
48.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
48.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
48.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
47.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
47.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
46.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
46.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
46.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
46.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
46.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
46.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
46.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
45.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
45.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
45.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
45.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
45.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
45.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
45.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
44.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
44.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
44.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
44.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
44.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
44.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
43.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
43.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
43.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
43.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
42.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
41.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
41.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
40.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
40.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
39.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
39.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
39.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
39.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
39.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
38.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
38.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
37.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
34.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
29.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
29.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
NRBP1 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
56.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
118.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
94.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
90.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
90.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
87.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
85.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
84.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
80.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
80.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
80.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
79.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
78.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
78.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
75.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
75.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
75.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
74.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
72.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
69.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
69.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
69.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
68.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
66.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
66.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
65.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
64.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
63.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
61.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
61.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
58.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
57.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
57.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
57.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
56.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
56.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
55.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
55.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
55.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
54.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
53.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
53.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
53.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
52.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
52.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
52.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
51.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
51.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
51.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
50.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
50.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
50.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
50.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
50.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
49.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
48.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
48.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
48.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
48.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
48.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
48.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
47.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
46.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
45.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
44.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
43.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
42.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
42.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
42.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
41.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
40.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
40.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
39.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
39.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
39.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
37.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
36.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
34.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
30.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
29.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
28.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
NRBP1 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
53.7
Number of samples
207
Samples
Sample
Description
TPM
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
101.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
98.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
95.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
92.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
87.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
81.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
80.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
79.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
79.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
77.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
77.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
77.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
76.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
75.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
75.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
73.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
73.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
73.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
71.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
71.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
71.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
71.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
71.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
70.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
70.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
69.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
69.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
68.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
68.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
68.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
66.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
66.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
64.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
64.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
64.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
64.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
63.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
63.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
63.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
63.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
63.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
63.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
63.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
63.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
62.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
62.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
62.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
62.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
62.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
62.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
62.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
61.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
61.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
61.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
61.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
61.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
61.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
60.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
60.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
59.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
59.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
59.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
59.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
58.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
58.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
57.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
57.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
57.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
57.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
57.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
56.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
56.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
56.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
56.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
54.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
54.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
54.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
54.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
53.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
53.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
52.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
52.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
52.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
52.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
52.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
52.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
52.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
51.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
51.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
51.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
51.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
51.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
50.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
50.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
50.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
50.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
49.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
49.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
49.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
49.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
48.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
48.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
47.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
47.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
47.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
47.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
47.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
46.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
46.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
46.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
46.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
45.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
45.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
45.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
45.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
44.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
44.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
43.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
43.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
43.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
43.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
42.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
42.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
42.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
42.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
42.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
40.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
40.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
40.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
39.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
39.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
38.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
38.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
37.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
37.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
36.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
36.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
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
