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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ZMIZ2 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
37.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
92.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
87.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
87.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
87.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
83.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
77.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
77.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
75.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
71.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
71.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
68.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
68.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
68.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
68.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
67.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
65.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
65.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
63.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
62.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
62.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
61.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
60.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
60.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
58.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
57.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
57.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
57.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
56.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
55.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
54.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
54.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
54.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
53.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
53.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
53.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
52.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
50.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
50.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
50.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
49.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
49.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
49.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
48.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
48.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
48.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
47.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
47.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
47.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
47.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
47.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
47.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
47.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
46.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
46.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
46.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
46.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
45.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
45.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
45.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
45.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
44.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
44.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
44.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
44.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
43.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
43.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
43.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
43.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
43.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
42.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
42.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
42.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
42.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
42.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
42.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
41.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
41.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
41.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
41.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
41.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
41.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
41.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
40.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
40.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
40.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
40.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
40.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
39.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
39.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
39.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
39.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
38.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
38.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
38.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
38.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
38.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
37.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
37.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
37.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
37.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
37.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
36.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
36.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
36.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
36.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
35.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
35.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
35.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
35.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
35.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
35.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
34.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
34.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
33.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
33.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
33.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
33.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
33.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
33.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
33.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
33.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
33.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
32.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
32.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
31.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
31.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
31.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
31.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
30.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
30.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
30.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
30.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
30.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
30.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
29.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
29.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
29.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
29.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
29.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
29.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
29.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
29.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
28.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
28.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
28.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
27.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
27.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
27.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
27.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
27.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
27.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
27.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
26.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
26.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
26.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
26.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
26.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
25.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
25.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
25.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
25.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
24.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
24.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
24.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
24.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
24.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
24.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
23.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
23.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
23.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
23.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
23.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
23.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
23.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
22.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
22.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
22.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
22.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
22.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
21.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
21.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
20.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
19.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
19.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
19.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
18.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
18.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
18.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
18.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
18.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
17.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
17.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
17.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
17.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
16.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
16.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
15.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
15.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
13.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
13.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
5.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
ZMIZ2 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
50.1
Number of samples
486
Samples
Sample
Description
TPM
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
100.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
98.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
95.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
95.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
93.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
91.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
90.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
89.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
86.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
86.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
85.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
85.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
84.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
84.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
84.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
82.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
81.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
80.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
80.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
78.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
77.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
76.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
76.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
76.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
76.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
75.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
75.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
75.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
75.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
74.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
74.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
74.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
74.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
74.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
73.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
73.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
73.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
73.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
72.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
72.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
72.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
71.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
71.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
71.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
70.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
70.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
70.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
69.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
69.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
69.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
69.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
69.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
69.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
69.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
69.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
68.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
68.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
68.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
68.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
68.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
68.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
67.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
67.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
67.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
67.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
66.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
66.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
66.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
66.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
66.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
65.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
65.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
64.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
64.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
64.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
64.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
64.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
63.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
63.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
63.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
62.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
62.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
62.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
62.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
62.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
62.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
62.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
62.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
62.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
62.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
62.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
62.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
61.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
61.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
61.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
61.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
61.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
61.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
60.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
60.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
60.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
60.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
60.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
60.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
60.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
60.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
59.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
59.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
59.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
59.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
59.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
59.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
58.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
58.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
58.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
58.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
57.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
57.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
57.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
56.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
56.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
56.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
56.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
56.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
56.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
55.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
55.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
55.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
55.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
55.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
55.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
55.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
55.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
54.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
54.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
54.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
54.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
54.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
54.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
54.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
54.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
54.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
54.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
54.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
53.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
53.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
53.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
53.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
53.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
53.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
53.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
52.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
52.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
52.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
52.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
52.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
52.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
52.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
51.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
51.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
51.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
51.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
51.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
51.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
50.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
50.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
50.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
50.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
50.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
50.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
50.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
49.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
49.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
49.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
49.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
49.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
49.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
49.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
49.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
49.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
49.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
49.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
49.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
48.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
48.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
48.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
48.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
47.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
47.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
47.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
47.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
47.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
47.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
47.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
47.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
46.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
46.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
46.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
46.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
46.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
45.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
45.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
45.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
45.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
45.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
45.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
45.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
44.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
44.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
44.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
44.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
44.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
44.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
43.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
43.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
43.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
43.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
43.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
43.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
43.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
42.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
42.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
42.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
42.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
42.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
42.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
42.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
42.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
41.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
40.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
40.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
40.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
40.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
40.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
39.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
39.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
39.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
39.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
39.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
39.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
38.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
38.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
38.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
38.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
38.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
37.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
37.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
37.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
37.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
37.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
37.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
37.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
37.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
36.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
36.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
36.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
36.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
35.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
35.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
35.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
35.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
34.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
34.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
34.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
34.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
34.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
34.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
34.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
34.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
33.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
33.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
33.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
33.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
33.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
33.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
32.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
32.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
31.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
30.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
29.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
29.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
29.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
29.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
28.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
28.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
27.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
27.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
27.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
27.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
25.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
24.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
24.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
19.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
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.
ZMIZ2 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
37.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
85.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
83.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
75.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
74.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
74.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
68.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
64.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
62.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
59.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
57.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
57.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
55.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
54.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
53.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
52.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
51.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
48.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
47.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
47.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
47.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
45.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
45.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
43.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
43.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
42.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
42.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
40.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
40.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
38.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
38.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
38.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
36.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
36.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
36.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
36.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
36.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
36.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
35.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
34.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
33.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
33.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
32.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
32.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
32.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
31.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
31.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
31.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
30.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
30.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
30.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
29.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
29.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
29.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
26.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
26.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
26.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
26.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
26.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
25.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
25.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
25.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
25.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
24.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
23.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
23.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
20.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
19.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
17.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ZMIZ2 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
51.3
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
96.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
89.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
83.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
83.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
82.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
82.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
81.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
80.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
80.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
78.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
75.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
75.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
73.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
73.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
72.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
72.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
71.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
69.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
69.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
69.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
66.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
66.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
66.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
66.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
66.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
66.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
65.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
65.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
64.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
64.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
64.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
63.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
63.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
63.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
62.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
62.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
61.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
61.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
60.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
60.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
60.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
60.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
59.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
59.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
59.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
59.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
59.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
59.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
58.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
58.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
58.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
58.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
58.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
58.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
58.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
57.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
57.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
57.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
57.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
57.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
56.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
56.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
56.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
55.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
55.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
55.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
55.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
55.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
54.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
54.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
53.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
53.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
53.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
52.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
52.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
52.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
51.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
51.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
51.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
51.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
50.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
50.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
50.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
50.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
49.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
49.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
49.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
49.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
49.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
48.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
48.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
48.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
48.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
48.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
48.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
48.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
47.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
47.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
47.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
46.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
45.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
44.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
44.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
44.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
44.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
43.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
43.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
43.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
42.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
42.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
42.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
41.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
40.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
40.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
40.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
40.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
40.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
39.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
39.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
39.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
39.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
39.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
39.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
38.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
38.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
38.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
37.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
37.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
36.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
36.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
36.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
