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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.
GTF3C2 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
31.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
60.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
50.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
48.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
47.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
46.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
46.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
45.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
45.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
43.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
43.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
43.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
42.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
42.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
41.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
41.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
41.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
40.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
40.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
40.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
40.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
40.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
40.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
39.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
39.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
39.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
39.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
39.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
39.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
39.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
38.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
38.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
38.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
38.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
38.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
38.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
38.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
37.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
37.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
36.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
36.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
36.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
36.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
36.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
36.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
36.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
35.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
35.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
35.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
35.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
35.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
34.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
34.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
34.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
34.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
34.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
34.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
33.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
33.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
33.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
33.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
33.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
33.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
33.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
33.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
33.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
33.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
33.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
33.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
32.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
32.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
32.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
32.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
32.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
32.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
32.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
32.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
32.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
32.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
32.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
32.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
32.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
32.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
32.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
32.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
32.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
31.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
31.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
31.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
31.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
31.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
31.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
31.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
31.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
31.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
31.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
31.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
31.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
31.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
30.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
30.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
30.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
30.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
30.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
30.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
30.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
30.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
30.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
30.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
30.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
30.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
30.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
29.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
29.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
29.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
29.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
29.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
29.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
29.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
29.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
29.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
29.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
29.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
28.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
28.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
28.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
28.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
28.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
28.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
28.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
28.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
28.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
27.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
27.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
27.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
27.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
27.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
27.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
27.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
27.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
27.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
27.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
27.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
27.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
26.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
26.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
26.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
26.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
26.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
26.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
26.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
26.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
25.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
25.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
25.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
25.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
25.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
25.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
25.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
25.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
25.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
24.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
24.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
24.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
24.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
24.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
24.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
24.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
24.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
23.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
23.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
22.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
22.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
22.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
21.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
21.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
21.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
21.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
21.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
21.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
20.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
19.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
17.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
GTF3C2 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
49.1
Number of samples
486
Samples
Sample
Description
TPM
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
84.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
76.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
76.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
75.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
71.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
70.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
69.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
69.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
68.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
68.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
68.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
67.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
67.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
67.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
66.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
66.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
65.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
65.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
64.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
64.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
64.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
64.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
63.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
63.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
63.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
63.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
62.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
62.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
62.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
62.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
62.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
62.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
62.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
62.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
61.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
61.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
60.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
60.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
60.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
60.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
60.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
59.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
59.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
59.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
59.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
59.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
59.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
59.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
59.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
58.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
58.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
58.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
58.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
58.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
58.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
57.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
57.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
57.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
57.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
57.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
57.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
57.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
57.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
57.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
57.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
57.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
57.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
57.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
56.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
56.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
56.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
56.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
56.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
56.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
56.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
56.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
55.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
55.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
55.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
55.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
55.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
55.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
55.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
55.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
55.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
55.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
55.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
55.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
55.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
55.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
54.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
54.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
54.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
54.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
54.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
54.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
54.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
54.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
54.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
54.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
54.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
54.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
53.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
53.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
53.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
53.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
53.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
53.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
53.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
53.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
53.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
53.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
53.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
53.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
53.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
53.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
53.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
53.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
53.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
53.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
53.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
52.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
52.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
52.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
52.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
52.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
52.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
52.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
52.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
52.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
52.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
52.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
52.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
51.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
51.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
51.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
51.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
51.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
51.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
51.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
50.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
50.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
50.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
50.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
50.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
50.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
50.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
50.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
50.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
50.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
50.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
50.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
49.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
49.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
49.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
49.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
49.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
49.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
49.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
49.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
49.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
49.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
49.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
49.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
49.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
49.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
48.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
48.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
48.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
48.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
48.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
48.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
48.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
48.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
48.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
48.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
48.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
48.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
48.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
48.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
48.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
48.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
48.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
48.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
48.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
48.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
48.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
48.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
47.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
47.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
47.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
47.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
47.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
47.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
47.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
46.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
46.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
46.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
46.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
46.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
46.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
46.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
46.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
46.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
46.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
46.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
46.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
46.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
46.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
45.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
45.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
45.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
45.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
45.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
45.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
45.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
45.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
45.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
45.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
44.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
44.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
44.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
44.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
44.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
44.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
44.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
44.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
44.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
44.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
43.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
43.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
43.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
43.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
43.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
43.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
43.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
43.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
42.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
42.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
42.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
42.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
42.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
42.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
42.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
41.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
41.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
41.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
41.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
41.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
41.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
40.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
40.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
40.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
40.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
40.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
39.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
39.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
39.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
38.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
38.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
38.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
38.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
38.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
37.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
36.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
36.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
35.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
35.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
35.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
34.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
34.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
33.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
32.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
31.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
29.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GTF3C2 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
30.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
48.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
43.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
43.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
42.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
42.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
41.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
41.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
40.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
39.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
37.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
37.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
36.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
35.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
35.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
35.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
35.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
34.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
34.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
34.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
34.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
34.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
33.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
33.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
33.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
33.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
33.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
32.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
32.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
32.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
32.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
32.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
31.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
31.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
31.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
30.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
30.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
29.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
29.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
29.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
29.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
29.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
29.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
29.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
28.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
28.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
28.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
27.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
27.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
27.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
27.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
27.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
27.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
27.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
27.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
26.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
26.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
25.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
24.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
24.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
24.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
24.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
22.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
21.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
21.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
21.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
20.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
20.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
20.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
19.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 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.
GTF3C2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
47.1
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
79.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
78.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
71.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
70.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
70.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
68.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
65.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
63.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
62.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
62.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
62.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
62.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
60.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
60.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
60.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
60.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
59.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
59.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
59.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
59.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
59.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
58.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
57.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
56.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
56.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
56.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
55.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
55.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
55.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
55.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
54.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
54.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
53.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
53.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
52.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
52.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
52.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
52.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
52.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
51.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
51.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
50.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
50.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
50.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
50.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
50.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
49.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
49.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
49.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
49.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
49.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
49.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
49.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
49.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
49.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
48.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
48.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
48.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
48.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
47.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
47.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
47.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
47.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
46.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
46.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
46.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
46.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
46.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
45.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
45.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
45.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
45.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
45.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
45.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
44.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
44.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
44.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
44.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
44.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
43.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
43.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
42.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
41.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
40.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
40.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
39.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
39.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
39.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
39.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
39.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
38.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
38.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
37.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
36.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
33.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
32.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
32.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
29.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
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Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
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Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
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Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
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Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
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Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
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
