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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NCK2 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
38.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
96.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
84.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
83.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
83.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
79.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
78.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
74.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
74.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
70.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
69.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
66.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
65.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
64.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
63.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
63.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
62.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
61.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
60.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
60.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
59.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
59.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
59.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
59.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
57.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
56.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
56.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
56.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
56.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
56.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
55.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
55.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
55.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
54.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
54.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
52.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
52.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
52.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
51.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
51.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
50.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
50.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
50.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
49.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
49.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
49.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
48.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
47.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
47.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
47.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
47.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
47.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
47.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
47.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
46.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
46.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
46.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
46.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
46.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
46.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
46.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
45.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
45.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
45.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
45.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
45.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
44.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
44.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
44.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
44.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
43.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
43.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
43.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
43.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
43.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
42.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
42.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
42.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
41.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
41.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
41.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
41.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
41.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
41.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
40.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
40.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
40.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
40.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
40.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
40.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
40.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
39.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
39.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
39.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
39.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
39.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
39.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
39.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
39.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
39.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
39.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
39.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
39.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
39.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
38.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
38.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
38.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
38.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
38.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
38.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
37.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
37.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
37.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
37.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
37.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
37.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
36.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
36.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
36.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
36.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
36.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
35.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
35.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
35.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
35.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
35.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
35.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
34.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
34.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
34.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
33.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
33.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
33.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
32.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
32.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
32.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
32.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
32.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
32.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
32.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
32.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
31.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
31.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
31.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
30.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
30.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
30.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
30.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
30.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
29.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
29.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
29.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
28.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
28.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
28.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
28.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
28.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
28.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
28.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
27.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
27.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
27.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
26.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
26.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
25.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
25.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
25.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
25.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
25.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
24.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
24.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
24.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
24.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
24.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
23.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
23.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
23.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
23.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
23.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
23.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
23.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
22.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
22.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
22.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
21.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
21.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
21.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
21.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
21.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
21.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
20.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
20.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
20.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
20.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
20.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
18.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
17.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
17.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
15.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
12.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
12.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
NCK2 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
45.6
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
103.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
102.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
99.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
94.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
91.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
90.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
90.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
86.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
86.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
84.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
83.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
83.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
83.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
80.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
78.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
78.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
78.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
76.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
76.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
72.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
72.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
72.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
71.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
71.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
71.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
71.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
70.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
70.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
70.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
70.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
69.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
69.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
69.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
68.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
68.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
68.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
68.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
67.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
67.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
67.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
66.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
65.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
65.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
64.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
64.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
64.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
63.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
63.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
63.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
62.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
62.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
61.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
60.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
60.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
60.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
60.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
59.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
59.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
59.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
59.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
59.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
59.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
58.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
58.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
58.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
57.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
57.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
57.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
56.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
56.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
56.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
56.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
56.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
56.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
56.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
56.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
55.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
55.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
54.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
54.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
54.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
54.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
54.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
54.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
54.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
54.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
54.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
54.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
54.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
53.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
53.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
53.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
52.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
52.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
52.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
52.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
52.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
52.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
52.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
52.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
52.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
52.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
52.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
52.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
51.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
51.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
51.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
51.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
51.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
50.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
50.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
50.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
50.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
49.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
49.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
49.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
49.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
49.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
49.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
49.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
48.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
48.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
48.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
48.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
48.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
48.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
47.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
47.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
47.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
47.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
47.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
47.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
47.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
46.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
46.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
46.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
46.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
46.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
46.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
46.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
46.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
45.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
45.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
45.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
44.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
44.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
44.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
44.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
44.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
44.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
44.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
44.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
44.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
43.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
43.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
43.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
43.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
43.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
43.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
43.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
43.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
43.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
43.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
43.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
43.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
43.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
43.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
42.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
42.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
42.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
42.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
42.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
42.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
42.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
42.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
42.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
41.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
41.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
41.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
41.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
41.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
40.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
40.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
40.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
40.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
40.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
40.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
40.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
39.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
39.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
39.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
39.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
38.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
38.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
38.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
38.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
38.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
38.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
38.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
38.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
38.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
38.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
37.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
37.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
37.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
37.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
37.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
36.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
36.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
36.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
36.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
36.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
36.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
35.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
35.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
35.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
35.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
35.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
35.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
35.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
34.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
34.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
34.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
34.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
34.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
34.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
34.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
33.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
33.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
33.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
33.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
33.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
33.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
33.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
33.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
32.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
32.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
32.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
32.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
31.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
31.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
31.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
31.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
31.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
31.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
31.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
30.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
30.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
30.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
30.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
29.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
29.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
29.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
29.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
29.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
29.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
29.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
29.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
29.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
29.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
28.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
28.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
28.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
28.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
28.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
28.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
27.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
27.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
27.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
26.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
26.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
26.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
26.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
26.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
26.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
25.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
25.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
24.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
24.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
24.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
24.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
23.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
21.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
21.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
21.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
20.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
20.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
19.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
14.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
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.
NCK2 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
41.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
86.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
79.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
77.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
68.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
68.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
62.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
61.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
59.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
59.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
58.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
57.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
57.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
57.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
56.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
55.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
54.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
52.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
52.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
51.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
50.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
49.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
49.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
47.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
46.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
46.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
45.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
45.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
44.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
44.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
43.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
43.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
43.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
42.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
42.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
42.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
41.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
41.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
41.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
41.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
40.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
40.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
40.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
40.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
39.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
39.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
39.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
38.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
38.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
38.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
38.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
37.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
36.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
35.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
35.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
35.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
34.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
34.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
34.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
33.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
33.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
32.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
31.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
30.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
30.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
29.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
28.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
27.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
27.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
26.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
23.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
21.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
17.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.3
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.
NCK2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
45.5
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
96.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
82.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
80.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
79.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
78.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
77.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
72.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
72.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
70.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
69.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
69.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
68.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
67.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
65.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
65.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
65.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
65.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
64.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
63.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
62.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
62.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
62.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
60.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
60.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
59.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
59.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
58.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
58.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
57.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
56.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
56.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
56.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
55.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
55.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
54.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
53.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
53.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
52.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
52.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
52.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
52.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
51.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
51.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
50.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
50.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
50.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
50.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
50.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
49.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
49.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
48.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
48.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
48.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
48.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
47.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
47.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
46.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
46.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
46.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
45.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
45.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
45.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
45.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
45.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
44.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
44.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
43.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
42.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
42.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
42.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
42.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
41.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
41.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
41.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
41.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
41.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
41.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
40.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
39.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
39.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
39.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
39.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
38.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
38.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
38.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
35.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
35.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
35.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
35.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
34.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
34.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
34.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
33.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
31.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
31.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
30.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
30.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
30.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
29.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
27.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
27.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
27.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
24.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
23.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
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Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
