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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.
ZNF148 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
6.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
42.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
27.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
26.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
14.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
13.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
12.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
12.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
12.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
11.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
11.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
10.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
10.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
10.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
10.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
10.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
10.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
10.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
10.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
10.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
10.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
10.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
9.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
9.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
9.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
9.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
9.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
9.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
9.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
9.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
9.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
9.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
9.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
9.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
9.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
9.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
8.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
8.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
8.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
8.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
8.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
8.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
8.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
8.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
8.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
8.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
8.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
8.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
8.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
8.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
8.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
8.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
7.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
7.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
7.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
7.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
7.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
7.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
7.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
7.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
7.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
7.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
7.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
7.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
7.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
7.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
7.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
7.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
7.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
7.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
7.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
7.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
7.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
7.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
7.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
7.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
7.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
7.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
7.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
7.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
7.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
7.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
7.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
7.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
7.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
6.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
6.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
6.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
6.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
6.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
6.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
6.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
6.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
6.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
6.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
6.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
6.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
6.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
6.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
6.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
6.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
6.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
6.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
6.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
6.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
6.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
6.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
5.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
5.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
5.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
5.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
5.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
5.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
5.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
5.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
5.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
5.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
5.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
5.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
5.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
5.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
5.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
5.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
5.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
5.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
5.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
5.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
5.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
5.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
5.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
5.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
5.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
5.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
5.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
5.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
5.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
5.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
5.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
5.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
5.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
4.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
4.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
4.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
4.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
4.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
4.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
4.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
4.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
4.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
4.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
4.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
4.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
4.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
4.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
4.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
4.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
4.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
4.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
4.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
4.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
4.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
4.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
4.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
4.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
3.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
ZNF148 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
38.0
Number of samples
486
Samples
Sample
Description
TPM
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
71.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
71.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
70.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
70.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
63.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
63.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
61.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
60.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
58.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
57.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
55.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
55.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
55.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
55.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
54.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
53.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
53.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
52.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
52.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
52.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
52.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
52.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
52.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
51.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
51.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
49.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
49.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
49.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
49.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
49.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
49.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
48.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
47.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
47.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
47.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
47.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
47.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
47.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
46.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
46.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
46.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
46.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
46.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
46.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
46.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
46.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
46.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
46.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
45.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
45.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
45.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
45.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
45.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
45.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
44.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
44.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
44.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
44.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
44.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
44.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
44.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
44.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
43.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
43.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
43.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
43.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
43.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
43.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
43.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
43.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
42.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
42.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
42.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
42.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
42.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
42.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
42.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
42.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
42.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
42.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
42.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
42.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
42.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
42.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
41.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
41.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
41.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
41.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
41.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
41.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
41.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
41.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
41.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
41.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
40.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
40.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
40.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
40.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
40.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
40.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
40.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
40.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
40.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
40.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
40.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
40.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
40.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
40.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
39.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
39.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
39.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
39.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
39.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
39.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
39.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
39.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
39.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
39.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
39.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
38.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
38.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
38.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
38.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
38.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
38.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
38.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
38.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
37.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
37.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
37.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
37.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
37.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
37.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
37.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
37.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
37.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
37.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
37.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
37.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
37.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
37.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
37.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
37.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
37.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
36.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
36.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
36.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
36.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
36.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
36.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
36.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
36.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
36.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
36.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
36.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
36.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
36.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
36.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
36.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
36.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
35.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
35.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
35.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
35.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
35.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
35.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
35.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
35.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
35.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
35.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
35.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
35.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
35.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
34.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
34.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
34.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
34.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
34.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
34.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
34.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
34.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
34.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
34.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
34.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
34.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
34.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
34.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
34.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
33.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
33.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
33.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
33.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
33.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
33.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
33.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
33.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
33.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
33.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
33.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
33.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
33.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
33.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
33.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
32.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
32.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
32.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
32.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
32.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
32.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
32.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
32.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
32.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
32.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
32.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
32.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
32.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
32.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
32.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
32.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
32.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
32.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
32.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
32.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
31.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
31.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
31.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
31.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
30.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
30.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
30.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
30.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
30.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
30.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
30.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
30.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
30.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
30.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
30.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
30.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
29.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
29.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
29.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
29.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
29.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
29.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
29.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
29.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
29.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
28.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
28.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
28.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
28.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
28.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
28.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
28.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
28.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
28.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
27.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
27.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
27.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
26.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
26.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
26.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
26.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
26.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
26.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
25.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
25.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
25.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
25.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
25.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
25.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
24.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
24.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
24.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
24.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
23.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
22.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
21.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
17.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
ZNF148 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
7.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
17.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
16.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
14.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
12.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
12.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
11.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
11.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
10.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
9.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
9.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
9.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
9.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
9.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
9.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
8.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
8.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
8.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
8.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
8.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
8.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
8.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
8.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
8.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
8.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
8.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
8.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
8.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
8.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
8.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
8.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
7.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
7.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
7.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
7.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
7.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
7.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
7.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
6.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
6.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
6.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
6.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
6.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
6.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
5.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
5.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
5.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
5.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
5.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
5.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
5.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
5.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
5.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
5.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
4.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
4.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
4.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
4.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
3.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
3.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ZNF148 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
37.0
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
63.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
59.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
56.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
53.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
52.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
52.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
51.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
51.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
50.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
50.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
50.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
49.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
49.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
48.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
47.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
46.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
46.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
46.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
46.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
45.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
45.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
44.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
44.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
44.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
44.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
44.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
44.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
43.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
43.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
43.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
42.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
42.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
42.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
42.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
42.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
41.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
41.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
41.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
39.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
39.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
39.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
39.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
38.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
38.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
38.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
38.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
38.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
37.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
36.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
36.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
36.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
36.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
36.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
36.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
36.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
35.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
35.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
35.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
34.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
34.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
34.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
34.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
34.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
33.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
33.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
33.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
32.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
32.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
32.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
32.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
31.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
31.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
31.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
31.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
31.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
30.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
30.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
29.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
29.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
29.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
29.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
28.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
28.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
28.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
27.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
27.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
27.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
26.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
25.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
24.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
24.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
23.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
21.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.9
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
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
