We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
CDK5RAP3 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
39.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
114.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
85.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
83.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
78.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
75.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
74.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
72.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
69.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
68.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
64.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
64.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
63.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
63.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
62.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
61.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
61.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
61.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
60.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
59.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
59.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
58.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
56.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
55.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
55.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
55.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
55.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
54.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
53.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
52.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
52.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
52.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
52.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
52.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
52.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
51.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
51.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
51.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
51.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
51.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
49.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
49.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
49.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
48.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
48.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
48.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
48.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
47.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
47.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
47.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
47.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
47.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
46.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
46.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
46.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
46.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
46.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
46.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
46.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
46.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
45.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
45.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
45.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
45.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
45.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
44.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
44.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
44.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
44.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
44.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
44.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
44.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
44.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
43.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
43.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
43.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
43.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
43.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
43.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
42.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
42.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
42.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
42.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
42.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
41.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
41.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
41.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
41.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
41.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
41.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
41.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
41.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
41.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
41.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
40.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
40.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
40.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
40.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
40.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
40.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
40.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
40.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
39.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
39.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
39.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
39.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
39.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
39.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
38.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
38.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
38.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
38.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
38.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
38.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
38.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
38.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
38.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
38.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
37.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
37.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
37.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
37.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
36.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
36.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
35.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
34.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
34.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
34.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
34.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
34.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
34.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
34.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
34.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
34.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
34.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
34.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
33.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
33.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
33.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
33.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
33.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
33.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
33.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
33.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
33.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
33.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
33.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
32.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
32.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
32.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
31.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
31.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
31.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
31.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
31.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
30.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
30.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
30.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
30.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
30.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
29.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
29.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
29.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
29.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
29.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
29.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
29.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
28.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
28.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
28.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
28.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
28.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
28.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
28.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
28.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
28.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
28.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
28.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
27.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
27.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
27.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
27.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
27.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
26.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
26.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
26.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
26.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
26.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
26.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
25.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
25.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
24.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
24.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
24.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
24.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
24.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
24.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
23.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
23.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CDK5RAP3 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
36.9
Number of samples
486
Samples
Sample
Description
TPM
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
71.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
69.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
67.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
65.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
63.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
63.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
63.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
62.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
60.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
58.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
57.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
57.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
57.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
57.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
57.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
56.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
56.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
55.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
55.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
54.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
54.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
53.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
53.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
53.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
53.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
52.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
52.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
52.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
51.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
51.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
51.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
51.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
51.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
50.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
50.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
50.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
50.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
49.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
49.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
49.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
49.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
49.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
49.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
48.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
48.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
47.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
47.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
47.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
47.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
46.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
46.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
46.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
46.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
46.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
46.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
46.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
46.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
45.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
45.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
45.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
45.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
44.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
44.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
44.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
44.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
44.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
44.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
43.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
43.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
43.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
43.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
43.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
43.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
42.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
42.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
42.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
42.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
42.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
42.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
41.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
41.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
41.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
41.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
41.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
41.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
41.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
41.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
41.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
41.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
40.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
40.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
40.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
40.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
40.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
39.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
39.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
39.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
39.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
39.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
39.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
39.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
39.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
39.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
39.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
38.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
38.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
38.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
38.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
38.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
38.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
38.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
38.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
37.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
37.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
37.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
37.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
37.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
37.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
37.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
37.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
37.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
37.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
36.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
36.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
36.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
36.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
36.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
36.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
36.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
36.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
36.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
36.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
36.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
36.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
36.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
36.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
35.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
35.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
35.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
35.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
35.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
35.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
35.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
35.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
35.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
35.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
34.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
34.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
34.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
34.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
34.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
34.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
34.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
34.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
34.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
34.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
34.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
34.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
34.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
34.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
33.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
33.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
33.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
33.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
33.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
33.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
33.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
33.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
33.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
33.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
33.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
33.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
32.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
32.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
32.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
32.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
32.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
32.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
32.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
32.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
32.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
32.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
32.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
32.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
32.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
32.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
32.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
31.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
31.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
31.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
31.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
31.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
31.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
31.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
31.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
31.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
31.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
31.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
31.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
31.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
31.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
31.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
30.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
30.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
30.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
30.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
30.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
30.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
30.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
30.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
30.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
30.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
30.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
30.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
30.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
30.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
30.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
30.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
30.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
30.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
29.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
29.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
29.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
29.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
29.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
29.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
29.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
29.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
29.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
29.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
29.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
28.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
28.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
28.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
28.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
28.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
28.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
28.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
27.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
27.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
27.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
27.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
27.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
27.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
27.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
27.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
27.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
27.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
26.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
26.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
26.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
26.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
26.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
26.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
26.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
25.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
25.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
25.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
25.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
25.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
25.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
25.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
25.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
25.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
24.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
24.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
24.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
24.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
24.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
24.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
24.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
24.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
24.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
24.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
24.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
23.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
23.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
23.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
23.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
23.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
23.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
23.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
23.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
23.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
23.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
23.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
22.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
22.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
22.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
22.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
22.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
22.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
22.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
22.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
22.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
22.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
22.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
21.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
21.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
21.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
21.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
20.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
20.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
19.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
19.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
19.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
18.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
18.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
17.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
15.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
15.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
11.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
3.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
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.
CDK5RAP3 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
35.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
78.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
63.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
56.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
54.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
52.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
52.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
51.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
48.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
48.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
47.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
47.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
46.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
45.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
44.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
44.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
43.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
43.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
42.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
42.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
42.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
41.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
40.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
40.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
40.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
40.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
40.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
39.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
39.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
39.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
39.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
39.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
39.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
38.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
38.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
37.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
36.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
36.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
36.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
35.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
35.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
35.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
35.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
35.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
33.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
32.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
32.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
31.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
31.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
29.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
29.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
27.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
26.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
26.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
26.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
26.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
25.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
24.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
24.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
24.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
23.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
23.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
23.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
22.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
21.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
20.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
19.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
19.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
18.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
15.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CDK5RAP3 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
33.5
Number of samples
207
Samples
Sample
Description
TPM
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
66.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
61.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
54.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
52.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
52.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
50.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
49.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
49.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
47.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
47.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
47.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
46.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
46.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
45.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
45.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
44.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
42.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
42.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
41.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
41.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
41.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
40.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
37.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
37.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
37.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
36.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
36.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
36.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
35.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
35.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
35.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
35.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
35.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
34.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
34.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
33.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
33.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
33.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
32.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
32.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
32.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
32.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
32.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
32.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
32.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
31.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
31.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
30.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
30.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
30.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
30.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
30.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
29.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
29.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
29.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
29.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
29.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
29.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
29.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
29.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
29.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
29.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
29.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
28.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
28.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
28.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
28.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
28.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
28.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
28.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
28.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
28.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
27.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
27.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
27.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
27.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
27.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
27.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
26.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
26.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
26.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
25.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
25.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
25.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
24.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
24.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
24.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
24.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
23.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
23.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
23.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
22.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
22.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
22.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
21.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
21.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
21.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
21.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
21.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
20.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
20.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
20.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
19.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
19.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
18.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
16.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
15.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
14.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
14.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
8.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
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.