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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.
WNK2 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
25.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
146.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
115.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
87.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
86.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
84.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
70.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
70.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
69.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
68.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
65.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
62.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
61.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
61.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
60.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
59.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
57.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
55.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
54.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
54.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
54.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
51.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
50.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
49.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
48.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
48.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
47.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
46.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
45.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
45.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
44.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
44.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
43.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
41.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
40.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
40.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
39.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
39.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
39.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
38.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
37.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
37.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
36.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
36.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
36.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
34.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
34.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
34.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
34.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
33.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
33.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
33.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
32.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
32.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
32.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
32.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
31.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
31.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
31.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
31.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
30.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
30.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
30.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
28.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
28.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
28.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
28.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
27.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
27.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
27.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
27.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
27.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
26.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
26.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
26.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
26.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
25.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
25.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
25.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
25.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
25.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
25.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
25.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
24.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
24.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
24.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
24.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
24.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
23.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
23.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
23.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
23.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
23.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
22.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
22.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
22.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
22.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
22.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
22.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
21.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
21.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
21.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
21.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
21.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
21.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
21.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
21.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
20.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
19.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
19.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
19.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
19.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
19.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
18.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
18.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
18.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
18.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
18.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
18.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
18.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
17.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
17.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
16.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
16.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
16.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
16.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
15.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
15.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
15.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
15.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
15.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
15.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
15.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
15.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
15.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
14.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
14.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
14.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
14.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
14.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
13.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
13.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
13.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
13.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
13.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
13.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
12.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
12.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
12.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
12.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
12.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
11.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
11.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
11.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
11.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
11.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
11.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
10.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
10.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
10.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
10.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
10.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
9.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
9.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
9.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
9.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
8.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
8.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
8.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
8.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
7.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
7.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
7.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
7.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
6.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
6.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
6.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
5.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
4.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
4.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
3.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
3.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
WNK2 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
38.1
Number of samples
486
Samples
Sample
Description
TPM
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
158.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
151.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
147.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
117.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
116.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
103.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
103.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
96.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
94.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
92.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
91.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
88.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
88.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
88.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
87.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
86.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
85.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
85.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
83.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
82.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
82.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
77.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
75.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
75.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
72.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
71.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
70.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
70.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
70.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
69.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
69.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
68.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
68.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
68.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
68.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
67.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
67.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
67.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
67.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
66.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
66.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
65.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
65.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
64.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
64.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
64.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
64.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
63.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
62.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
62.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
62.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
62.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
62.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
61.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
61.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
60.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
60.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
59.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
58.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
58.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
58.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
57.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
57.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
57.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
57.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
57.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
56.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
56.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
56.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
55.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
55.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
55.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
55.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
55.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
54.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
54.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
54.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
54.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
54.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
53.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
53.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
53.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
53.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
52.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
52.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
51.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
51.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
51.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
51.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
51.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
50.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
50.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
50.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
49.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
49.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
47.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
46.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
46.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
45.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
45.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
45.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
45.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
44.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
44.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
44.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
43.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
43.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
43.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
43.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
43.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
42.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
42.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
42.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
42.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
42.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
42.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
42.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
41.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
41.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
41.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
40.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
40.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
40.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
40.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
40.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
40.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
40.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
40.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
40.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
39.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
39.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
39.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
39.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
39.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
39.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
38.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
38.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
38.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
38.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
37.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
37.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
37.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
37.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
37.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
36.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
36.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
36.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
36.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
36.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
36.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
35.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
35.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
35.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
35.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
34.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
34.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
34.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
34.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
34.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
34.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
34.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
33.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
33.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
33.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
33.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
33.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
32.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
32.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
32.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
31.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
31.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
31.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
31.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
31.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
31.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
31.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
31.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
30.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
30.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
30.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
30.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
30.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
30.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
30.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
30.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
30.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
30.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
29.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
29.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
29.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
29.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
29.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
29.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
29.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
29.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
28.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
28.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
28.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
28.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
28.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
28.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
27.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
27.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
27.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
27.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
27.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
26.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
26.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
26.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
26.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
26.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
26.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
25.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
25.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
25.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
25.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
25.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
25.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
25.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
25.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
25.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
25.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
25.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
24.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
24.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
24.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
24.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
24.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
24.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
24.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
24.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
24.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
24.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
24.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
24.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
24.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
24.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
24.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
23.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
23.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
23.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
23.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
23.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
23.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
23.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
23.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
22.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
22.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
22.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
22.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
22.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
22.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
22.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
22.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
22.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
22.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
21.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
21.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
21.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
21.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
21.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
21.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
21.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
21.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
20.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
20.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
20.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
20.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
20.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
20.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
20.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
20.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
19.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
19.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
19.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
19.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
19.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
19.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
19.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
19.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
18.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
18.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
18.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
18.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
18.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
18.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
18.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
18.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
17.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
17.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
17.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
17.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
17.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
17.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
17.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
17.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
17.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
17.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
17.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
16.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
16.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
16.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
16.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
15.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
15.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
15.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
15.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
15.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
15.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
15.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
15.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
14.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
14.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
14.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
14.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
14.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
14.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
14.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
13.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
13.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
13.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
12.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
12.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
12.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
11.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
11.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
11.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
11.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
11.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
10.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
10.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
10.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
10.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
10.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
10.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
10.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
9.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
9.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
9.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
9.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
8.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
8.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
8.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
7.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
7.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
7.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
7.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
7.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
7.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
6.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
6.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
5.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
5.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
3.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
2.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
2.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
WNK2 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
26.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
87.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
61.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
56.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
54.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
53.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
50.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
44.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
41.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
41.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
40.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
40.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
38.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
38.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
34.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
33.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
33.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
33.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
31.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
31.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
30.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
30.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
28.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
27.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
27.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
27.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
27.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
27.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
27.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
26.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
26.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
25.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
25.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
24.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
24.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
22.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
22.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
21.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
21.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
20.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
20.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
20.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
19.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
19.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
19.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
18.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
17.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
17.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
17.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
16.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
16.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
16.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
15.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
13.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
13.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
12.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
11.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
10.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
10.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
8.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
WNK2 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
42.7
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
177.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
170.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
107.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
106.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
101.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
98.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
90.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
88.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
84.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
80.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
79.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
78.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
78.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
77.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
76.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
72.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
69.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
68.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
66.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
64.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
63.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
63.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
61.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
61.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
61.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
60.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
60.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
60.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
59.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
58.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
56.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
55.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
55.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
55.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
55.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
54.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
54.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
53.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
53.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
53.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
52.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
52.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
52.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
52.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
50.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
49.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
49.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
49.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
49.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
47.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
47.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
46.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
45.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
44.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
43.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
43.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
42.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
42.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
42.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
40.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
39.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
38.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
38.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
38.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
37.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
37.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
37.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
36.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
35.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
33.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
33.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
33.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
32.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
30.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
30.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
29.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
29.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
28.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
28.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
28.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
28.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
28.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
27.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
27.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
27.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
26.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
26.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
26.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
26.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
26.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
25.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
25.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
24.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
24.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
23.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
23.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
23.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
23.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
22.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
22.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
22.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
22.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
22.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
21.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
21.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
20.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
20.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
20.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
20.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
20.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
20.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
18.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
18.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
15.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
15.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
11.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
10.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
10.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
10.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
10.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
7.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
0.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.9
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
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Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
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Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
-0.1
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Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
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Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
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Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
b2400046-1d25-429d-a821-6040a6
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
