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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.
CNOT11 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
43.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
93.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
72.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
70.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
69.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
69.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
68.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
68.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
67.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
67.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
66.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
64.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
63.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
63.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
62.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
62.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
61.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
60.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
59.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
59.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
58.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
58.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
58.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
57.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
57.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
57.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
57.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
57.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
55.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
55.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
54.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
54.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
54.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
54.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
53.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
53.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
52.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
52.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
52.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
52.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
51.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
51.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
51.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
51.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
51.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
50.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
50.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
50.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
50.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
50.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
50.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
50.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
50.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
49.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
49.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
49.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
49.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
49.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
49.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
49.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
49.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
49.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
48.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
48.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
48.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
48.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
48.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
48.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
48.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
47.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
47.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
47.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
47.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
47.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
47.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
47.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
46.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
46.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
46.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
46.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
46.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
46.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
45.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
45.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
45.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
45.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
45.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
44.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
44.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
44.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
44.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
44.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
44.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
44.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
44.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
44.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
44.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
44.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
44.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
44.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
44.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
43.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
43.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
43.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
43.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
43.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
43.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
43.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
43.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
42.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
42.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
42.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
42.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
42.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
42.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
42.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
41.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
41.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
41.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
41.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
41.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
41.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
40.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
40.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
40.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
40.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
40.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
40.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
40.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
39.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
39.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
39.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
39.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
39.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
39.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
38.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
38.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
38.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
38.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
38.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
38.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
38.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
37.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
37.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
37.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
37.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
37.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
37.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
37.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
36.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
36.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
36.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
36.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
36.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
36.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
36.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
36.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
35.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
35.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
35.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
35.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
35.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
35.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
34.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
34.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
34.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
34.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
34.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
34.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
34.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
33.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
33.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
33.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
33.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
33.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
32.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
32.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
32.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
31.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
31.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
31.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
31.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
31.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
31.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
31.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
30.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
30.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
30.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
30.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
30.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
29.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
29.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
28.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
28.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
28.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
27.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
22.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
19.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
CNOT11 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
46.4
Number of samples
486
Samples
Sample
Description
TPM
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
96.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
80.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
79.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
79.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
75.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
74.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
74.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
73.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
71.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
69.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
69.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
69.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
67.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
67.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
66.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
66.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
66.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
66.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
65.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
65.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
65.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
64.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
64.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
64.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
64.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
64.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
63.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
63.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
63.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
62.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
62.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
62.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
62.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
62.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
62.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
61.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
61.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
61.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
61.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
60.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
60.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
60.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
59.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
59.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
59.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
59.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
58.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
58.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
58.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
58.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
58.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
58.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
57.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
57.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
57.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
57.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
56.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
56.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
56.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
56.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
55.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
55.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
55.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
55.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
55.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
55.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
55.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
55.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
55.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
55.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
54.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
54.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
54.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
54.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
54.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
53.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
53.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
53.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
53.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
53.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
53.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
53.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
53.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
52.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
52.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
52.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
52.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
52.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
52.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
52.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
52.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
52.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
52.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
52.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
51.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
51.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
51.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
51.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
51.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
51.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
51.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
51.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
51.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
51.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
51.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
50.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
50.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
50.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
50.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
50.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
50.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
50.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
50.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
49.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
49.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
49.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
49.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
49.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
49.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
49.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
49.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
49.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
49.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
48.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
48.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
48.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
48.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
48.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
48.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
48.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
48.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
48.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
48.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
48.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
47.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
47.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
47.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
47.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
47.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
47.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
47.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
47.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
47.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
47.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
47.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
47.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
47.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
46.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
46.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
46.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
46.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
46.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
46.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
46.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
46.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
46.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
46.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
45.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
45.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
45.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
45.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
45.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
45.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
44.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
44.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
44.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
44.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
44.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
44.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
44.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
44.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
44.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
43.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
43.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
43.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
43.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
43.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
43.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
43.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
43.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
43.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
43.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
43.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
43.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
42.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
42.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
42.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
42.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
42.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
42.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
42.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
42.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
42.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
42.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
42.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
42.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
42.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
42.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
42.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
41.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
41.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
41.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
41.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
41.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
41.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
41.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
41.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
41.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
40.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
40.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
40.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
40.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
40.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
40.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
40.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
40.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
40.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
39.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
39.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
39.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
39.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
39.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
38.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
38.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
38.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
38.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
38.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
38.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
38.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
38.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
37.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
37.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
37.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
37.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
37.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
37.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
37.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
37.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
37.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
36.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
35.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
35.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
34.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
34.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
34.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
34.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
33.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
33.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
33.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
33.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
32.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
31.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
31.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
31.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
28.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
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.
CNOT11 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
45.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
78.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
74.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
71.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
70.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
70.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
69.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
68.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
66.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
62.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
61.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
61.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
60.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
60.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
60.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
59.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
59.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
58.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
56.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
55.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
55.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
55.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
54.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
53.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
53.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
52.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
52.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
52.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
52.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
52.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
49.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
49.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
49.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
49.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
48.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
48.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
48.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
47.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
47.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
47.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
47.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
46.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
45.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
44.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
43.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
43.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
42.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
41.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
41.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
41.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
40.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
39.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
38.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
38.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
38.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
36.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
36.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
35.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
35.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
35.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
35.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
34.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
34.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
34.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
34.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
32.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
32.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
32.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
32.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
32.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
29.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
22.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
21.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CNOT11 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
45.3
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
78.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
70.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
70.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
67.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
65.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
64.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
64.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
63.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
62.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
61.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
60.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
59.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
59.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
58.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
58.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
57.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
57.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
56.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
55.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
55.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
54.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
54.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
54.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
54.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
54.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
53.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
53.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
53.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
53.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
53.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
52.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
52.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
52.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
51.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
51.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
50.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
50.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
50.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
50.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
50.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
49.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
49.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
48.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
48.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
48.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
47.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
47.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
47.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
47.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
46.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
46.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
46.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
45.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
45.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
45.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
45.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
44.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
44.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
44.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
44.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
43.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
43.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
43.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
42.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
42.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
42.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
42.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
42.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
41.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
41.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
41.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
40.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
39.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
39.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
39.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
39.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
38.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
37.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
37.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
37.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
37.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
36.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
32.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
31.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-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
