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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.
H2AC6 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
19.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
554.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
539.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
472.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
440.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
388.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
330.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
57.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
42.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
38.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
38.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
37.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
37.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
36.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
35.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
34.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
33.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
29.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
25.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
24.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
24.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
22.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
22.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
21.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
20.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
18.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
17.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
17.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
17.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
17.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
17.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
16.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
16.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
16.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
16.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
16.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
14.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
14.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
14.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
14.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
14.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
14.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
13.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
12.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
12.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
12.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
12.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
11.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
11.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
11.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
11.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
10.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
10.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
10.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
10.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
10.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
10.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
10.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
9.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
9.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
9.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
9.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
9.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
9.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
9.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
9.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
8.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
8.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
8.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
8.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
8.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
8.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
8.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
8.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
7.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
7.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
7.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
7.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
7.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
7.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
7.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
7.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
7.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
7.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
7.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
7.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
7.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
7.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
7.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
7.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
7.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
7.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
6.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
6.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
6.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
6.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
6.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
6.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
6.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
5.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
5.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
5.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
5.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
5.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
5.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
5.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
5.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
5.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
5.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
5.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
5.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
4.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
4.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
4.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
4.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
4.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
4.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
4.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
4.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
4.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
4.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
4.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
3.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
3.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
3.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
3.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
3.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
3.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
3.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
3.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
3.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
3.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
3.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
3.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
2.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
2.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
2.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
2.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
2.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
2.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
H2AC6 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
253.6
Number of samples
486
Samples
Sample
Description
TPM
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
561.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
559.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
556.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
556.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
552.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
540.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
540.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
527.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
524.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
517.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
507.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
497.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
471.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
451.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
445.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
443.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
441.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
436.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
435.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
429.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
428.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
427.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
424.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
422.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
419.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
413.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
413.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
411.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
408.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
407.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
406.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
405.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
403.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
403.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
403.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
401.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
394.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
393.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
392.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
391.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
389.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
389.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
389.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
389.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
384.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
384.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
381.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
380.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
380.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
379.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
378.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
378.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
377.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
374.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
373.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
370.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
370.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
369.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
369.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
367.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
367.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
363.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
363.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
361.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
361.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
360.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
355.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
348.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
347.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
345.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
345.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
344.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
344.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
343.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
342.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
342.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
341.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
340.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
339.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
338.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
337.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
337.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
337.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
336.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
336.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
335.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
334.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
331.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
331.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
329.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
327.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
327.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
326.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
324.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
323.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
322.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
321.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
321.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
321.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
320.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
320.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
318.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
317.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
316.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
316.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
315.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
314.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
314.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
313.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
313.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
312.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
311.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
311.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
311.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
310.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
310.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
310.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
309.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
308.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
307.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
306.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
305.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
304.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
300.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
300.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
299.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
299.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
299.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
299.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
299.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
299.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
297.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
296.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
296.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
295.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
295.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
295.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
294.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
293.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
293.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
292.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
292.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
292.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
289.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
288.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
285.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
284.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
284.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
283.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
283.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
282.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
281.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
281.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
280.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
280.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
280.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
279.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
279.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
277.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
277.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
276.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
276.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
276.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
276.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
276.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
275.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
274.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
273.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
273.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
273.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
273.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
273.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
273.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
271.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
270.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
269.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
269.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
269.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
269.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
268.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
268.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
267.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
267.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
267.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
267.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
265.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
265.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
265.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
265.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
264.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
264.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
263.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
263.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
263.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
260.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
259.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
259.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
259.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
258.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
257.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
257.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
256.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
256.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
256.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
256.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
256.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
256.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
255.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
255.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
255.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
254.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
254.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
254.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
253.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
252.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
252.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
252.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
251.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
250.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
249.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
247.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
247.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
246.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
245.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
244.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
244.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
244.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
243.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
242.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
242.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
242.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
241.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
241.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
241.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
241.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
241.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
240.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
240.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
240.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
240.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
239.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
239.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
238.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
238.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
236.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
235.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
235.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
235.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
234.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
234.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
233.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
233.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
232.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
232.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
231.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
231.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
230.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
230.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
230.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
229.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
229.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
229.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
228.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
228.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
228.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
228.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
228.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
227.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
227.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
227.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
225.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
225.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
225.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
225.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
225.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
224.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
224.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
223.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
223.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
222.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
221.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
221.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
220.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
220.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
220.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
219.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
219.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
219.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
218.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
218.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
218.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
217.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
216.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
216.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
215.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
214.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
214.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
214.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
214.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
214.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
214.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
213.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
212.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
212.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
212.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
212.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
211.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
211.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
210.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
210.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
210.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
209.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
209.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
208.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
208.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
208.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
208.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
208.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
208.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
207.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
206.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
206.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
206.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
206.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
206.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
206.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
206.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
206.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
205.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
205.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
205.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
205.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
205.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
204.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
204.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
203.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
203.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
202.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
202.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
201.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
201.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
201.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
201.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
200.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
200.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
200.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
200.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
199.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
198.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
197.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
197.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
197.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
196.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
196.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
196.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
196.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
196.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
196.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
195.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
194.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
194.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
193.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
193.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
192.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
191.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
190.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
190.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
189.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
189.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
188.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
188.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
187.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
187.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
186.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
186.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
186.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
185.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
185.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
185.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
184.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
184.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
183.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
183.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
183.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
182.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
182.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
180.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
180.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
180.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
179.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
179.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
179.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
176.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
176.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
175.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
175.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
175.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
174.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
173.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
173.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
172.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
172.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
172.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
172.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
172.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
169.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
169.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
168.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
168.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
168.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
168.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
167.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
167.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
167.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
166.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
166.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
165.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
165.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
165.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
164.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
163.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
160.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
160.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
160.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
159.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
158.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
157.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
157.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
157.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
156.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
156.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
155.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
155.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
155.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
154.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
153.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
152.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
152.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
152.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
151.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
151.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
150.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
149.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
149.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
148.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
147.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
147.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
146.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
145.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
145.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
145.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
144.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
143.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
143.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
140.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
140.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
139.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
139.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
137.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
137.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
135.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
134.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
133.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
133.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
129.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
126.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
126.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
124.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
123.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
123.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
122.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
122.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
118.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
118.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
117.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
116.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
114.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
113.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
112.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
110.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
110.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
98.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
66.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.9
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.
H2AC6 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
7.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
74.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
26.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
24.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
24.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
19.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
15.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
14.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
11.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
10.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
10.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
9.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
9.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
9.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
9.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
9.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
8.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
7.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
7.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
7.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
6.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
6.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
6.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
6.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
6.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
6.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
6.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
6.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
6.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
6.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
6.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
5.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
5.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
5.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
5.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
5.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
5.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
5.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
4.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
4.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
4.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
4.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
4.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
4.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
4.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
3.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
3.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
3.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
3.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
3.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
3.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
3.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
2.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
2.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
0.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
0.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
H2AC6 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
202.6
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
404.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
403.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
385.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
383.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
382.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
376.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
368.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
367.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
364.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
363.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
362.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
360.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
358.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
343.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
337.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
325.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
323.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
316.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
312.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
309.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
308.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
306.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
306.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
301.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
299.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
298.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
298.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
291.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
289.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
287.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
287.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
281.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
278.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
276.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
275.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
271.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
270.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
268.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
265.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
264.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
263.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
262.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
261.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
259.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
256.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
255.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
254.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
254.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
253.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
250.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
249.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
248.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
246.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
246.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
245.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
240.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
240.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
240.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
239.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
239.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
238.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
237.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
237.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
236.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
236.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
235.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
232.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
223.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
222.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
220.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
218.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
218.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
218.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
217.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
217.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
217.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
216.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
213.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
211.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
210.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
210.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
210.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
209.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
208.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
208.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
207.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
206.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
204.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
202.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
202.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
202.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
201.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
200.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
200.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
200.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
199.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
198.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
198.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
197.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
196.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
194.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
192.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
191.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
191.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
190.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
190.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
190.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
190.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
189.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
188.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
186.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
185.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
185.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
184.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
184.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
184.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
183.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
181.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
180.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
179.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
178.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
176.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
176.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
175.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
175.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
175.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
175.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
175.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
174.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
174.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
174.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
174.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
170.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
169.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
168.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
168.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
167.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
167.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
166.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
165.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
165.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
159.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
158.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
157.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
156.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
156.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
155.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
155.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
154.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
154.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
153.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
152.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
152.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
150.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
149.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
148.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
146.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
146.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
145.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
145.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
145.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
144.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
144.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
141.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
139.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
138.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
137.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
137.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
136.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
134.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
131.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
130.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
127.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
127.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
125.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
123.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
120.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
119.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
119.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
117.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
116.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
115.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
115.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
115.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
111.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
110.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
110.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
108.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
107.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
107.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
107.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
104.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
104.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
100.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
96.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
95.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
93.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
93.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
92.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
92.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
84.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
83.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
81.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
81.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
80.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
79.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
33.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
