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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.
CKAP5 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
25.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
120.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
72.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
67.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
61.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
58.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
57.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
53.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
48.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
47.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
46.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
45.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
44.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
43.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
42.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
41.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
41.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
41.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
41.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
40.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
38.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
38.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
37.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
37.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
36.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
36.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
36.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
36.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
35.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
35.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
35.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
35.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
35.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
34.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
34.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
34.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
34.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
34.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
34.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
33.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
33.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
33.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
33.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
33.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
33.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
32.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
32.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
32.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
32.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
32.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
31.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
31.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
31.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
31.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
30.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
30.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
30.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
30.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
30.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
30.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
30.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
29.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
29.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
29.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
29.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
29.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
29.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
29.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
29.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
29.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
28.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
28.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
28.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
28.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
28.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
28.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
27.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
27.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
27.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
27.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
26.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
26.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
26.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
26.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
26.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
26.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
26.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
26.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
25.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
25.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
25.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
25.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
25.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
25.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
25.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
25.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
25.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
25.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
24.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
24.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
24.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
23.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
23.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
23.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
23.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
23.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
23.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
23.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
23.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
22.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
22.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
22.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
22.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
22.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
22.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
21.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
21.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
21.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
21.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
21.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
20.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
20.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
20.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
20.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
20.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
19.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
19.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
19.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
19.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
19.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
19.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
19.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
19.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
19.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
19.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
18.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
18.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
18.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
18.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
18.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
18.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
18.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
18.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
18.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
17.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
17.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
17.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
17.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
17.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
17.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
16.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
16.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
16.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
16.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
16.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
16.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
15.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
15.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
15.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
15.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
15.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
15.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
15.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
14.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
14.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
14.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
14.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
13.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
13.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
13.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
13.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
12.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
11.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
11.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
10.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
8.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CKAP5 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
67.8
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
170.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
149.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
136.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
130.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
124.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
123.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
123.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
118.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
116.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
115.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
113.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
111.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
109.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
109.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
108.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
108.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
108.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
105.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
103.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
102.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
101.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
101.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
101.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
100.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
100.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
100.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
99.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
99.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
98.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
98.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
98.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
96.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
96.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
95.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
95.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
94.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
93.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
92.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
92.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
92.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
92.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
92.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
91.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
91.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
90.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
90.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
89.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
89.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
89.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
89.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
89.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
89.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
89.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
88.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
88.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
88.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
88.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
88.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
87.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
87.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
87.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
87.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
87.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
87.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
86.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
86.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
86.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
86.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
86.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
86.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
85.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
85.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
85.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
84.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
84.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
84.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
84.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
84.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
84.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
84.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
83.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
83.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
82.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
82.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
82.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
82.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
82.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
82.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
81.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
81.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
81.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
81.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
81.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
81.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
81.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
81.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
80.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
80.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
80.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
80.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
80.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
80.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
79.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
79.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
79.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
79.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
79.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
79.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
79.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
78.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
78.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
78.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
78.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
78.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
78.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
78.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
78.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
78.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
78.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
77.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
77.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
77.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
77.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
77.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
77.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
77.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
77.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
77.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
77.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
76.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
76.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
76.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
76.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
76.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
76.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
76.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
76.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
75.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
75.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
75.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
75.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
75.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
75.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
75.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
75.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
74.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
74.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
74.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
74.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
74.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
74.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
74.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
73.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
73.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
73.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
73.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
73.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
73.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
73.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
73.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
73.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
73.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
72.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
72.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
72.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
72.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
72.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
72.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
72.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
72.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
72.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
72.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
72.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
71.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
71.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
71.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
71.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
71.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
71.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
71.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
71.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
71.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
71.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
71.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
71.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
71.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
71.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
71.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
71.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
71.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
71.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
70.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
70.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
70.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
70.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
70.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
70.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
70.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
70.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
70.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
69.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
69.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
69.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
69.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
69.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
69.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
69.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
69.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
69.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
69.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
69.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
69.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
69.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
69.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
68.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
68.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
68.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
68.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
68.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
68.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
68.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
68.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
67.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
67.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
67.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
67.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
67.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
67.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
67.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
66.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
66.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
66.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
66.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
66.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
66.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
66.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
66.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
66.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
66.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
66.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
66.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
66.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
66.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
65.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
65.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
65.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
65.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
65.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
65.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
65.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
65.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
65.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
65.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
65.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
65.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
64.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
64.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
64.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
63.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
63.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
63.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
63.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
63.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
63.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
63.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
62.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
62.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
62.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
62.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
62.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
62.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
62.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
62.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
62.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
62.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
62.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
62.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
62.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
62.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
62.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
62.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
61.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
61.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
61.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
61.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
61.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
61.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
60.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
60.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
60.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
60.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
60.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
60.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
60.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
60.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
60.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
60.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
60.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
59.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
59.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
59.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
59.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
59.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
59.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
59.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
59.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
59.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
59.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
58.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
58.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
58.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
58.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
58.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
58.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
58.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
58.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
58.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
58.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
58.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
58.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
57.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
57.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
57.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
57.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
57.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
57.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
57.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
57.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
57.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
56.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
56.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
56.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
56.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
56.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
56.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
56.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
56.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
56.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
55.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
55.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
55.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
55.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
55.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
55.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
55.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
55.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
55.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
54.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
54.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
54.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
54.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
54.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
54.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
54.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
54.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
54.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
54.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
54.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
53.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
53.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
53.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
53.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
52.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
52.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
52.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
52.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
52.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
51.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
51.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
51.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
51.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
50.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
50.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
50.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
50.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
50.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
50.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
49.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
48.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
48.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
48.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
48.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
47.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
47.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
46.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
46.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
46.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
46.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
46.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
46.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
45.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
45.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
45.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
45.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
45.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
45.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
45.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
44.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
43.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
41.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
40.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
38.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
36.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
35.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CKAP5 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
25.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
66.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
57.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
48.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
47.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
46.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
46.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
45.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
43.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
42.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
40.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
39.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
36.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
33.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
33.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
32.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
32.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
31.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
30.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
30.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
30.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
29.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
29.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
29.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
29.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
28.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
28.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
28.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
27.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
27.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
27.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
27.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
27.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
25.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
25.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
24.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
23.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
23.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
23.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
23.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
23.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
23.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
23.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
23.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
22.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
22.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
22.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
22.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
21.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
21.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
21.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
20.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
20.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
19.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
19.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
18.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
16.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
15.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
15.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
15.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
14.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
14.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
14.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
14.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
13.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
12.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
10.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
8.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.9
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.
CKAP5 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
65.3
Number of samples
207
Samples
Sample
Description
TPM
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
143.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
130.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
128.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
123.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
122.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
120.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
114.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
114.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
108.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
105.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
104.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
101.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
97.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
96.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
95.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
94.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
94.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
92.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
92.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
92.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
91.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
89.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
88.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
88.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
87.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
87.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
84.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
83.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
83.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
83.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
83.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
82.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
82.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
81.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
81.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
80.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
79.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
79.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
79.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
79.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
79.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
78.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
78.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
78.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
77.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
77.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
77.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
77.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
76.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
76.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
76.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
76.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
75.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
74.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
74.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
74.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
73.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
73.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
73.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
73.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
73.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
73.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
72.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
72.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
72.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
71.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
71.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
70.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
69.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
68.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
67.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
67.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
67.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
67.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
67.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
67.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
67.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
66.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
66.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
66.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
66.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
65.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
65.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
65.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
65.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
65.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
65.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
65.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
65.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
64.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
64.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
64.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
64.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
64.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
64.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
64.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
64.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
63.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
63.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
62.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
62.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
62.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
62.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
62.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
61.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
61.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
60.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
60.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
60.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
60.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
60.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
60.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
59.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
59.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
59.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
59.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
58.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
58.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
57.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
57.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
57.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
56.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
56.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
56.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
55.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
55.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
55.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
55.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
55.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
54.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
54.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
54.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
54.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
54.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
54.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
54.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
53.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
53.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
53.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
52.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
52.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
52.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
50.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
50.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
49.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
49.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
49.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
48.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
48.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
48.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
48.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
47.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
46.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
45.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
44.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
43.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
43.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
43.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
41.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
41.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
41.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
40.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
38.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
31.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
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Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
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Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
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
