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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.
PREB 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
54.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
108.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
100.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
100.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
99.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
95.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
94.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
87.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
86.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
85.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
81.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
81.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
79.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
79.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
79.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
79.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
76.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
76.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
75.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
74.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
73.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
73.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
73.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
72.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
71.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
71.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
70.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
70.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
70.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
69.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
69.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
68.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
68.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
68.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
68.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
68.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
67.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
67.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
67.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
66.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
66.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
66.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
66.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
66.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
66.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
64.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
64.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
64.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
63.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
62.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
62.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
62.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
62.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
62.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
62.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
62.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
62.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
62.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
62.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
62.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
62.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
62.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
61.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
61.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
61.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
61.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
61.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
61.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
61.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
61.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
60.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
60.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
60.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
60.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
60.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
60.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
60.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
60.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
60.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
60.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
60.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
59.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
59.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
59.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
59.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
58.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
58.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
58.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
57.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
57.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
57.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
57.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
57.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
57.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
57.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
57.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
57.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
56.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
56.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
56.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
56.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
55.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
55.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
55.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
55.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
54.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
54.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
54.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
54.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
54.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
54.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
53.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
53.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
53.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
53.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
53.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
53.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
52.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
52.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
52.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
52.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
52.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
51.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
51.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
51.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
51.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
51.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
51.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
51.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
51.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
50.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
50.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
50.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
50.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
50.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
50.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
50.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
49.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
49.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
49.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
49.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
48.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
48.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
48.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
48.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
48.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
47.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
47.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
47.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
47.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
47.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
47.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
46.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
46.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
46.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
46.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
46.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
46.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
46.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
46.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
46.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
45.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
45.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
45.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
45.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
45.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
45.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
45.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
45.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
45.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
45.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
45.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
45.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
45.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
44.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
44.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
44.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
44.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
44.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
44.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
43.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
43.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
43.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
42.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
42.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
42.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
42.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
42.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
42.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
42.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
42.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
42.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
41.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
41.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
41.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
41.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
41.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
41.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
41.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
41.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
40.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
40.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
40.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
40.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
40.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
40.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
40.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
39.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
39.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
39.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
39.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
38.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
38.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
38.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
38.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
37.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
37.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
37.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
37.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
36.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
35.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
35.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
34.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
34.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
34.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
33.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
33.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
32.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 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.
PREB 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
37.0
Number of samples
486
Samples
Sample
Description
TPM
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
77.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
69.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
69.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
67.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
64.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
63.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
62.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
60.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
59.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
59.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
58.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
57.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
57.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
57.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
56.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
56.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
56.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
56.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
56.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
55.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
54.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
54.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
54.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
53.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
53.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
53.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
53.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
53.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
53.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
53.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
52.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
52.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
52.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
52.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
52.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
51.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
51.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
51.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
49.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
49.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
49.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
49.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
49.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
48.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
48.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
48.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
47.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
47.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
46.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
46.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
46.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
46.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
46.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
45.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
45.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
45.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
45.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
45.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
44.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
44.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
43.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
43.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
43.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
43.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
43.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
43.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
42.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
42.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
42.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
42.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
42.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
42.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
42.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
42.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
41.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
41.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
41.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
41.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
41.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
41.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
41.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
40.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
40.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
40.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
40.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
40.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
40.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
39.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
39.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
39.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
39.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
39.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
39.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
39.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
38.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
38.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
38.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
38.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
38.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
38.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
38.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
38.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
37.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
37.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
37.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
37.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
37.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
37.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
37.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
37.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
36.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
36.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
36.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
36.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
36.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
36.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
36.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
36.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
36.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
35.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
35.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
35.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
35.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
35.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
35.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
35.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
35.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
35.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
34.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
34.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
34.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
34.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
34.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
34.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
34.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
34.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
34.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
34.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
34.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
34.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
34.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
34.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
33.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
33.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
33.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
33.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
33.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
33.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
33.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
33.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
33.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
33.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
32.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
32.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
32.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
32.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
32.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
31.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
31.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
31.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
31.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
31.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
31.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
31.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
31.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
31.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
30.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
30.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
30.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
30.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
30.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
30.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
30.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
30.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
30.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
30.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
30.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
30.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
30.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
29.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
29.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
29.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
29.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
29.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
29.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
29.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
29.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
29.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
29.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
29.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
29.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
29.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
29.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
29.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
28.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
28.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
28.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
28.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
28.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
28.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
28.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
28.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
28.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
28.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
28.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
28.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
28.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
28.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
28.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
28.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
27.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
27.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
27.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
27.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
27.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
27.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
27.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
27.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
27.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
26.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
26.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
26.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
26.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
26.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
26.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
26.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
26.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
26.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
26.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
25.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
25.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
25.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
25.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
24.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
24.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
24.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
24.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
24.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
24.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
24.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
24.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
24.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
23.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
23.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
23.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
23.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
23.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
22.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
22.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
22.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
22.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
22.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
21.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
20.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
20.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
20.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
20.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
20.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
17.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
16.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
PREB 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
52.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
91.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
89.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
88.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
86.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
79.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
71.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
70.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
68.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
67.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
67.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
67.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
65.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
64.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
64.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
64.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
62.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
62.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
62.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
62.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
61.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
61.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
61.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
60.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
58.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
58.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
58.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
58.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
58.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
58.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
57.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
57.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
57.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
56.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
55.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
55.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
54.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
54.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
54.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
54.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
54.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
54.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
53.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
53.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
52.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
52.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
52.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
51.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
50.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
49.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
49.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
49.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
48.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
48.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
47.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
46.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
45.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
45.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
43.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
42.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
41.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
41.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
39.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
39.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
38.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
37.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
37.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
37.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
36.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
36.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
34.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
34.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
34.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
29.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 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.
PREB 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
33.8
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
72.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
66.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
64.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
61.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
55.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
50.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
49.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
49.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
48.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
47.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
47.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
46.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
46.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
45.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
45.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
44.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
43.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
42.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
42.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
41.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
41.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
41.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
41.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
40.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
40.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
40.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
38.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
38.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
38.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
37.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
36.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
36.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
35.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
35.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
35.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
35.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
35.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
34.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
34.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
33.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
33.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
33.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
33.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
32.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
32.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
32.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
32.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
32.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
32.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
31.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
31.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
30.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
30.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
30.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
30.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
30.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
30.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
29.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
29.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
29.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
29.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
29.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
29.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
28.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
28.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
27.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
27.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
27.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
27.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
27.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
26.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
25.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
25.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
25.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
25.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
25.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
25.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
24.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
24.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
24.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
24.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
24.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
24.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
23.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
23.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
22.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
21.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
21.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
21.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
21.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
20.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
20.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
20.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
20.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
19.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
18.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
18.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
17.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
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Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
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Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
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Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
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
