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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.
ITCH 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
18.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
92.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
55.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
50.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
49.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
47.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
43.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
41.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
39.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
38.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
37.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
36.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
34.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
34.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
34.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
33.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
33.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
33.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
32.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
30.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
30.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
29.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
29.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
29.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
28.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
28.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
28.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
27.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
27.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
27.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
27.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
26.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
26.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
25.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
25.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
25.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
25.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
25.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
24.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
24.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
24.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
24.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
24.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
24.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
24.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
24.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
24.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
23.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
23.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
23.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
23.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
23.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
23.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
22.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
22.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
22.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
22.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
21.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
21.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
21.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
21.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
21.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
21.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
21.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
21.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
20.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
20.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
20.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
20.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
20.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
19.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
19.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
19.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
19.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
19.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
18.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
18.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
18.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
18.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
18.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
18.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
18.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
18.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
17.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
17.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
17.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
17.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
17.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
16.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
16.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
16.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
16.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
16.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
16.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
16.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
16.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
16.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
16.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
16.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
15.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
15.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
15.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
15.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
15.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
15.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
15.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
15.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
15.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
15.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
15.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
15.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
15.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
15.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
15.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
15.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
15.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
14.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
14.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
14.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
14.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
14.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
14.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
14.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
14.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
14.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
14.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
14.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
13.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
13.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
13.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
13.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
13.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
13.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
13.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
13.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
13.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
13.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
13.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
12.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
12.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
12.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
12.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
12.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
12.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
12.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
12.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
11.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
11.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
11.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
11.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
11.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
11.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
11.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
10.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
10.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
10.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
10.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
10.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
10.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
10.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
10.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
10.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
10.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
10.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
10.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
9.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
9.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
9.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
9.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
9.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
9.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
9.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
8.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
8.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
7.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
7.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
6.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
6.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 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.
ITCH is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
45.7
Number of samples
486
Samples
Sample
Description
TPM
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
102.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
98.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
97.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
92.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
92.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
87.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
86.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
85.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
84.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
81.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
79.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
79.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
78.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
77.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
76.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
73.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
73.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
73.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
73.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
72.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
72.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
71.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
70.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
70.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
69.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
69.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
69.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
69.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
68.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
68.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
68.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
68.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
67.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
67.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
66.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
66.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
65.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
65.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
65.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
65.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
65.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
65.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
65.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
64.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
64.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
64.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
63.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
63.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
62.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
62.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
62.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
62.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
61.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
61.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
61.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
61.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
61.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
61.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
60.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
60.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
60.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
59.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
59.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
59.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
59.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
59.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
59.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
59.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
58.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
58.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
58.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
58.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
58.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
58.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
58.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
57.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
57.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
57.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
57.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
56.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
56.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
56.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
56.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
56.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
55.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
55.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
55.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
55.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
55.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
54.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
54.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
54.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
54.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
54.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
53.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
53.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
53.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
53.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
53.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
53.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
53.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
53.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
53.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
53.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
53.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
52.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
52.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
52.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
52.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
52.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
52.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
52.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
51.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
51.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
51.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
51.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
51.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
51.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
51.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
51.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
50.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
50.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
50.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
50.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
49.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
49.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
49.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
49.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
49.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
49.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
48.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
48.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
48.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
48.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
47.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
47.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
47.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
47.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
47.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
46.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
46.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
46.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
46.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
46.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
46.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
46.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
45.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
45.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
45.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
45.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
45.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
45.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
45.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
45.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
44.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
44.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
44.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
43.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
43.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
43.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
43.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
42.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
42.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
42.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
42.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
42.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
42.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
42.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
42.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
41.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
41.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
41.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
41.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
41.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
41.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
41.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
41.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
41.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
40.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
40.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
40.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
40.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
40.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
40.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
40.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
39.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
39.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
39.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
39.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
39.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
39.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
39.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
39.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
39.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
39.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
38.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
38.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
38.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
38.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
38.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
38.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
38.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
38.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
38.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
38.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
38.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
38.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
37.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
37.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
37.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
37.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
37.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
37.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
37.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
36.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
36.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
36.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
36.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
36.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
36.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
36.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
36.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
36.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
36.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
36.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
35.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
35.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
35.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
35.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
35.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
35.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
35.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
34.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
34.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
34.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
34.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
33.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
33.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
33.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
33.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
33.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
33.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
33.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
32.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
32.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
32.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
32.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
32.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
32.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
31.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
31.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
31.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
31.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
31.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
31.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
31.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
31.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
30.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
30.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
30.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
30.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
30.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
29.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
29.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
29.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
29.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
28.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
28.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
28.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
28.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
28.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
27.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
27.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
27.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
26.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
22.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
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.
ITCH 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
19.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
41.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
40.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
39.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
33.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
31.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
31.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
30.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
28.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
26.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
26.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
26.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
26.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
25.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
24.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
24.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
24.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
24.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
24.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
24.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
23.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
23.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
23.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
22.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
22.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
22.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
22.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
22.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
21.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
21.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
21.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
21.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
21.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
20.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
20.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
20.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
20.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
20.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
19.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
18.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
18.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
18.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
17.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
17.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
17.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
17.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
17.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
16.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
16.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
16.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
16.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
15.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
15.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
15.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
15.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
15.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
15.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
14.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
14.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
14.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
13.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
13.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
13.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
12.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
11.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ITCH 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
47.0
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
96.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
87.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
78.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
78.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
77.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
77.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
74.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
74.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
71.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
71.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
68.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
68.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
67.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
65.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
64.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
64.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
64.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
63.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
63.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
63.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
62.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
61.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
61.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
61.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
61.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
61.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
61.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
61.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
61.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
61.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
60.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
59.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
59.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
58.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
58.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
57.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
57.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
57.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
56.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
56.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
56.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
56.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
56.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
56.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
55.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
55.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
55.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
54.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
54.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
54.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
53.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
53.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
53.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
52.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
52.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
51.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
51.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
50.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
50.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
50.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
49.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
48.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
48.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
47.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
47.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
47.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
47.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
46.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
46.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
46.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
46.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
45.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
44.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
44.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
44.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
44.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
44.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
43.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
43.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
43.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
42.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
42.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
42.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
42.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
41.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
41.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
41.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
41.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
41.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
41.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
40.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
39.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
39.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
38.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
38.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
38.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
37.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
37.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
36.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
36.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
35.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
34.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
34.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
34.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
34.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
34.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
32.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
31.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
31.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
28.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
26.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
25.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
23.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
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Normal
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
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Normal
0.2
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Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
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Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
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
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
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
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
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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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
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
0.1
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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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Normal
0.1
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Tumor
0.1
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Tumor
0.0
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Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
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Tumor
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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Normal
0.0
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Normal
0.0
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Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
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
0.0
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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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Normal
0.0
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Normal
0.0
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Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
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
0.0
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Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
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Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
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Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
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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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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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Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
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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Normal
-0.1
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Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-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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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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Normal
-0.1
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Normal
-0.1
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
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Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
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Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.