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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.
ZC3H11A 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
10.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
38.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
37.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
33.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
25.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
24.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
22.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
21.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
20.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
20.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
19.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
19.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
18.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
18.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
18.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
18.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
18.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
18.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
17.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
17.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
17.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
17.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
16.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
16.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
16.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
16.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
16.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
16.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
15.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
15.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
15.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
15.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
15.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
15.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
14.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
14.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
14.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
14.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
13.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
13.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
13.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
13.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
13.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
13.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
12.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
12.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
12.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
12.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
11.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
11.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
11.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
11.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
11.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
11.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
11.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
11.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
10.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
10.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
10.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
10.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
10.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
10.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
10.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
10.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
10.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
10.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
10.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
10.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
10.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
10.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
10.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
10.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
10.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
10.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
10.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
10.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
9.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
9.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
9.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
9.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
9.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
9.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
9.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
9.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
9.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
9.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
9.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
9.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
9.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
9.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
8.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
8.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
8.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
8.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
8.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
8.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
8.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
8.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
8.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
8.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
8.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
8.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
8.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
8.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
8.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
8.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
8.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
8.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
7.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
7.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
7.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
7.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
7.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
7.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
7.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
7.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
7.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
7.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
7.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
7.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
7.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
7.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
7.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
7.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
7.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
7.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
6.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
6.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
6.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
6.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
6.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
6.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
6.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
5.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
5.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
5.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
5.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
5.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
4.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
4.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
4.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
4.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
4.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
3.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 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.
ZC3H11A 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
44.4
Number of samples
486
Samples
Sample
Description
TPM
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
88.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
82.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
79.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
73.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
72.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
72.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
70.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
69.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
69.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
67.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
67.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
67.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
66.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
65.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
64.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
64.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
63.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
63.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
63.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
62.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
61.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
61.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
60.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
60.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
60.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
60.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
60.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
59.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
59.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
59.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
59.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
59.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
58.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
58.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
58.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
58.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
58.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
58.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
58.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
57.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
56.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
56.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
56.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
56.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
56.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
56.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
56.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
55.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
55.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
55.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
55.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
55.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
55.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
55.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
55.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
54.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
54.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
54.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
54.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
54.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
54.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
54.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
53.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
53.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
53.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
53.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
53.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
53.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
52.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
52.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
52.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
52.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
52.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
52.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
52.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
51.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
51.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
51.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
51.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
51.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
51.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
51.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
51.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
50.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
50.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
50.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
50.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
49.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
49.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
49.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
49.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
49.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
49.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
48.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
48.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
48.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
48.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
48.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
48.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
48.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
48.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
48.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
48.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
48.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
48.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
48.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
48.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
48.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
47.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
47.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
47.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
47.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
47.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
47.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
47.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
47.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
47.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
46.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
46.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
46.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
46.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
46.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
46.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
45.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
45.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
45.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
45.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
45.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
45.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
45.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
45.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
45.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
45.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
45.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
45.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
45.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
45.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
45.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
44.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
44.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
44.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
44.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
44.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
44.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
44.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
44.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
44.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
44.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
44.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
44.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
44.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
44.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
44.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
44.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
43.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
43.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
43.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
43.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
43.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
43.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
43.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
43.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
43.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
43.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
43.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
43.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
42.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
42.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
42.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
42.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
42.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
42.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
42.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
42.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
42.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
42.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
42.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
42.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
42.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
41.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
41.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
41.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
41.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
41.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
41.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
41.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
40.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
40.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
40.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
40.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
40.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
40.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
40.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
40.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
40.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
40.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
40.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
39.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
39.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
39.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
39.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
39.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
39.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
39.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
39.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
39.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
39.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
39.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
39.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
39.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
39.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
39.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
39.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
39.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
39.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
38.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
38.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
38.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
38.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
38.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
38.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
38.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
38.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
38.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
37.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
37.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
37.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
37.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
37.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
37.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
36.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
36.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
36.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
36.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
36.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
36.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
35.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
35.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
35.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
35.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
35.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
35.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
35.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
34.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
34.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
33.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
33.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
33.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
33.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
33.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
33.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
33.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
33.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
32.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
32.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
32.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
32.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
32.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
31.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
31.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
31.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
30.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
30.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
29.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
27.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
26.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ZC3H11A 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
10.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
22.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
20.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
19.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
19.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
18.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
18.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
18.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
17.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
17.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
16.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
16.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
16.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
15.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
15.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
15.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
14.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
14.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
13.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
13.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
12.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
12.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
12.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
12.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
12.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
11.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
11.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
11.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
11.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
11.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
11.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
10.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
10.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
10.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
10.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
10.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
10.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
9.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
8.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
8.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
8.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
8.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
8.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
8.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
8.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
8.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
7.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
7.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
7.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
7.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
7.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
7.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
7.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
6.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
5.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
5.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
4.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
3.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 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.
ZC3H11A 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
40.8
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
72.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
59.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
58.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
57.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
57.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
55.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
55.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
55.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
54.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
54.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
54.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
53.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
53.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
53.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
53.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
52.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
52.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
51.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
50.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
48.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
48.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
48.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
48.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
48.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
48.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
48.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
47.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
47.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
47.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
45.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
45.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
45.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
44.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
44.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
44.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
43.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
42.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
42.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
42.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
42.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
42.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
41.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
41.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
41.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
41.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
41.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
40.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
40.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
40.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
40.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
40.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
40.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
39.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
38.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
38.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
38.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
38.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
38.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
38.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
38.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
37.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
37.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
37.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
37.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
37.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
37.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
36.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
35.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
35.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
35.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
35.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
34.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
33.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
33.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
33.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
32.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
32.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
31.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
31.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
31.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
29.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
28.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
28.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
28.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
28.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
28.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
27.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
