We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
ZMYND8 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
23.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
88.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
75.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
59.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
59.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
57.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
56.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
55.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
53.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
52.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
52.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
47.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
47.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
46.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
46.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
45.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
44.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
44.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
43.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
43.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
43.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
42.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
42.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
42.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
42.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
39.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
39.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
38.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
38.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
36.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
36.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
36.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
36.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
36.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
35.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
35.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
35.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
35.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
34.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
34.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
34.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
33.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
33.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
33.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
33.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
33.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
33.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
33.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
32.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
32.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
32.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
32.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
32.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
31.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
31.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
31.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
31.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
30.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
29.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
29.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
29.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
29.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
29.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
29.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
28.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
28.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
28.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
28.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
28.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
28.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
27.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
27.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
27.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
27.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
27.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
27.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
27.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
26.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
26.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
26.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
26.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
26.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
26.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
26.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
25.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
25.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
25.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
25.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
25.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
24.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
24.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
23.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
23.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
23.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
23.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
22.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
22.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
22.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
22.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
22.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
21.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
21.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
21.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
21.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
20.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
20.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
20.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
20.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
20.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
20.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
20.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
19.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
19.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
19.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
19.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
18.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
18.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
18.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
18.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
18.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
18.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
18.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
18.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
18.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
17.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
17.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
17.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
17.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
17.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
17.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
17.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
16.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
16.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
16.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
16.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
16.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
15.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
15.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
15.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
15.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
15.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
15.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
15.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
15.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
14.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
14.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
14.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
14.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
14.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
14.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
14.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
14.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
14.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
14.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
14.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
14.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
14.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
13.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
13.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
13.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
13.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
13.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
13.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
13.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
13.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
13.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
12.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
12.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
12.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
12.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
12.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
12.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
12.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
11.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
11.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
11.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
11.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
11.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
10.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
10.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
10.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
10.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
10.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
9.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
9.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
9.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
9.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
9.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
7.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
7.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 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.
ZMYND8 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
72.2
Number of samples
486
Samples
Sample
Description
TPM
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
296.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
295.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
242.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
241.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
207.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
192.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
184.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
176.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
170.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
166.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
162.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
160.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
156.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
151.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
150.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
148.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
147.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
143.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
142.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
141.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
141.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
138.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
137.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
136.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
136.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
133.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
133.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
132.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
132.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
130.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
129.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
128.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
128.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
128.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
128.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
127.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
126.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
126.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
126.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
125.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
125.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
124.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
123.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
123.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
122.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
121.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
120.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
120.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
120.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
119.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
119.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
118.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
117.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
117.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
114.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
114.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
113.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
112.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
110.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
110.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
110.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
110.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
109.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
109.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
109.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
109.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
108.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
108.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
108.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
107.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
107.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
107.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
107.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
106.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
106.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
105.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
105.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
105.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
105.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
105.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
104.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
103.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
103.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
102.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
102.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
102.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
102.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
102.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
101.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
101.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
101.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
100.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
100.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
100.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
100.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
99.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
98.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
98.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
97.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
97.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
97.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
96.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
96.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
96.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
95.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
94.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
94.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
94.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
94.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
94.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
94.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
93.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
93.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
93.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
92.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
91.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
91.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
91.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
91.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
91.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
90.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
90.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
90.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
89.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
89.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
88.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
88.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
88.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
88.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
88.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
87.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
86.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
86.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
86.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
85.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
85.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
85.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
84.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
84.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
84.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
84.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
84.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
84.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
83.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
83.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
83.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
83.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
83.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
82.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
81.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
81.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
81.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
81.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
81.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
81.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
80.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
80.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
80.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
80.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
80.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
80.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
80.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
80.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
79.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
79.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
78.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
78.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
78.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
78.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
78.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
78.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
78.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
77.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
77.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
77.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
77.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
76.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
76.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
76.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
75.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
75.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
75.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
75.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
75.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
75.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
74.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
74.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
74.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
74.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
74.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
73.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
73.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
73.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
73.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
73.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
73.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
73.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
72.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
72.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
72.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
71.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
71.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
71.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
71.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
71.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
71.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
70.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
70.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
70.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
69.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
69.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
69.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
69.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
69.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
69.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
69.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
68.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
67.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
67.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
66.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
66.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
66.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
66.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
66.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
65.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
65.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
65.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
64.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
64.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
64.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
64.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
64.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
64.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
64.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
64.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
64.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
64.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
64.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
63.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
63.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
63.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
63.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
63.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
62.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
62.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
62.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
62.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
62.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
61.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
61.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
61.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
61.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
61.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
61.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
60.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
60.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
60.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
60.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
60.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
60.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
59.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
59.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
59.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
58.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
58.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
58.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
58.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
58.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
57.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
57.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
57.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
56.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
56.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
56.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
56.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
56.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
55.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
55.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
55.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
55.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
55.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
55.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
55.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
54.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
54.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
54.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
54.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
54.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
54.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
54.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
54.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
53.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
53.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
53.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
53.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
53.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
53.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
52.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
52.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
52.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
52.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
52.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
52.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
52.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
51.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
51.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
51.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
51.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
50.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
50.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
49.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
49.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
49.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
48.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
48.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
48.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
48.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
48.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
47.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
47.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
47.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
47.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
47.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
47.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
46.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
45.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
45.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
45.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
45.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
45.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
45.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
44.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
44.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
44.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
44.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
42.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
42.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
42.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
41.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
41.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
41.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
41.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
41.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
41.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
40.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
40.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
40.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
39.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
39.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
39.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
38.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
38.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
37.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
37.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
37.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
37.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
36.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
36.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
36.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
36.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
36.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
35.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
35.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
35.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
35.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
35.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
34.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
34.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
33.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
33.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
33.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
33.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
33.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
33.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
33.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
32.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
32.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
31.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
31.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
31.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
31.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
31.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
31.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
30.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
30.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
29.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
29.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
29.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
29.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
28.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
28.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
27.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
27.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
27.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
27.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
26.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
25.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
24.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
24.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
22.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.5
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.
ZMYND8 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
26.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
65.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
64.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
53.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
52.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
52.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
49.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
48.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
46.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
45.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
42.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
38.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
37.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
36.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
34.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
32.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
32.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
31.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
31.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
30.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
30.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
30.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
30.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
30.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
29.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
28.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
27.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
27.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
27.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
26.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
26.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
26.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
26.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
26.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
25.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
24.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
24.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
23.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
23.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
23.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
23.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
23.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
22.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
22.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
22.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
21.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
21.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
21.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
20.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
20.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
20.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
20.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
19.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
18.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
17.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
17.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
17.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
16.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
16.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
15.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
15.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
14.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
13.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
13.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
13.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
12.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
12.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
12.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
11.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ZMYND8 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
82.9
Number of samples
207
Samples
Sample
Description
TPM
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
215.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
204.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
190.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
189.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
181.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
179.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
167.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
156.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
152.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
151.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
150.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
142.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
142.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
141.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
140.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
139.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
131.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
130.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
127.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
127.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
126.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
125.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
124.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
123.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
122.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
122.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
119.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
119.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
119.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
118.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
118.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
117.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
111.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
110.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
110.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
109.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
109.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
106.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
106.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
106.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
106.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
105.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
105.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
105.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
103.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
103.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
103.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
101.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
101.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
100.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
99.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
99.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
98.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
98.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
96.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
96.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
96.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
95.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
95.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
95.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
95.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
94.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
94.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
93.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
92.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
92.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
92.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
91.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
91.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
90.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
90.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
89.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
89.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
88.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
87.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
86.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
86.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
85.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
85.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
85.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
85.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
85.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
84.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
83.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
83.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
82.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
82.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
82.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
82.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
81.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
81.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
80.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
80.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
79.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
79.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
78.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
78.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
78.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
77.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
76.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
76.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
76.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
76.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
76.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
76.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
75.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
75.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
74.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
74.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
72.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
72.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
72.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
72.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
71.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
71.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
69.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
69.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
69.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
68.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
68.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
68.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
68.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
68.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
68.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
67.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
67.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
67.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
67.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
66.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
66.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
66.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
66.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
65.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
65.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
65.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
64.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
63.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
63.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
63.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
63.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
63.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
61.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
61.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
61.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
61.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
60.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
60.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
60.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
60.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
59.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
59.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
58.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
57.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
57.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
57.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
56.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
56.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
56.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
55.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
55.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
55.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
54.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
54.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
54.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
54.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
54.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
53.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
53.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
52.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
51.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
51.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
48.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
45.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
45.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
45.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
44.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
42.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
39.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
38.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
37.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
37.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
36.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
20.5
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-1.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-1.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_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
