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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.
ZMAT2 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
52.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
106.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
96.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
86.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
83.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
81.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
81.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
81.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
79.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
78.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
78.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
78.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
77.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
76.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
76.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
75.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
73.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
72.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
71.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
71.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
71.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
70.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
70.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
70.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
70.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
69.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
69.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
69.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
68.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
68.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
68.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
68.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
67.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
67.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
67.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
66.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
65.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
65.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
65.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
65.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
64.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
64.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
64.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
64.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
64.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
64.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
64.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
64.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
64.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
63.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
63.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
63.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
62.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
62.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
62.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
62.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
61.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
61.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
61.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
61.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
61.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
61.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
60.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
60.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
60.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
60.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
59.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
59.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
59.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
59.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
58.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
58.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
58.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
58.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
58.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
58.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
58.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
58.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
57.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
57.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
56.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
56.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
56.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
56.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
55.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
55.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
55.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
55.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
55.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
55.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
54.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
54.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
54.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
54.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
53.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
53.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
53.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
53.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
53.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
53.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
53.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
53.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
53.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
52.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
52.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
52.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
52.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
52.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
52.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
52.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
52.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
52.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
52.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
52.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
51.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
51.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
51.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
51.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
51.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
51.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
51.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
51.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
51.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
51.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
51.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
51.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
50.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
50.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
50.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
50.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
50.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
50.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
49.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
49.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
49.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
49.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
49.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
49.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
49.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
48.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
48.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
48.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
48.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
48.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
48.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
48.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
47.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
47.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
47.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
47.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
47.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
46.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
46.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
46.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
46.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
46.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
46.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
46.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
46.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
46.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
45.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
45.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
45.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
45.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
45.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
45.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
45.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
44.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
44.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
44.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
44.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
44.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
43.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
43.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
43.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
43.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
43.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
42.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
42.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
42.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
42.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
42.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
42.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
42.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
41.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
41.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
41.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
41.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
40.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
40.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
40.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
40.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
40.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
40.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
40.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
40.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
39.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
39.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
39.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
39.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
39.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
39.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
39.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
39.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
38.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
38.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
37.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
37.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
37.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
36.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
36.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
36.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
36.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
35.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
35.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
35.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
35.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
34.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
34.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
34.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
34.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
33.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
33.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
33.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
32.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
30.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ZMAT2 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
45.3
Number of samples
486
Samples
Sample
Description
TPM
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
77.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
75.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
74.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
73.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
73.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
72.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
72.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
70.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
70.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
70.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
67.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
67.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
67.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
67.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
66.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
66.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
66.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
66.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
65.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
65.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
64.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
64.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
64.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
64.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
64.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
63.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
63.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
62.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
62.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
62.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
62.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
62.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
61.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
61.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
61.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
61.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
60.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
60.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
60.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
60.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
60.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
60.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
58.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
58.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
57.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
57.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
57.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
56.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
56.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
56.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
56.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
56.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
56.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
56.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
55.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
55.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
55.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
54.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
54.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
54.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
54.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
54.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
54.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
54.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
54.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
54.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
54.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
53.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
53.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
53.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
53.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
53.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
53.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
53.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
53.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
52.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
52.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
52.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
52.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
52.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
52.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
52.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
52.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
51.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
51.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
51.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
51.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
51.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
51.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
51.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
51.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
51.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
51.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
51.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
51.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
51.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
50.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
50.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
49.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
49.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
49.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
49.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
49.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
49.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
49.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
48.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
48.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
48.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
48.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
48.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
48.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
48.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
48.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
48.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
48.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
47.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
47.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
47.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
47.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
47.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
46.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
46.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
46.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
46.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
46.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
46.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
46.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
46.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
46.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
46.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
46.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
46.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
45.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
45.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
45.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
45.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
45.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
45.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
45.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
45.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
45.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
45.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
45.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
45.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
44.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
44.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
44.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
44.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
44.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
44.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
44.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
44.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
44.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
44.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
44.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
44.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
44.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
43.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
43.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
43.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
43.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
43.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
43.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
43.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
43.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
43.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
43.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
43.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
42.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
42.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
42.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
42.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
42.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
42.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
42.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
42.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
42.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
42.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
42.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
42.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
42.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
42.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
41.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
41.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
41.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
41.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
41.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
41.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
41.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
41.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
41.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
41.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
41.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
41.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
40.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
40.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
40.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
40.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
40.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
40.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
40.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
40.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
40.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
40.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
40.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
40.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
39.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
39.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
39.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
39.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
39.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
39.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
39.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
39.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
38.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
38.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
38.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
38.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
38.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
38.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
38.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
38.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
37.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
37.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
37.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
37.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
37.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
37.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
37.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
37.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
37.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
36.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
36.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
36.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
36.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
36.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
36.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
36.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
35.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
35.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
35.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
35.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
35.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
35.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
34.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
34.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
33.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
33.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
33.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
33.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
33.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
33.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
32.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
32.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
32.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
31.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
31.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
30.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
29.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
29.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
28.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
28.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
28.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
28.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
27.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.2
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.
ZMAT2 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
55.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
97.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
96.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
81.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
80.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
77.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
76.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
75.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
74.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
74.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
74.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
72.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
72.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
71.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
70.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
70.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
69.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
68.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
68.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
67.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
67.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
66.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
66.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
66.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
66.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
65.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
65.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
64.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
63.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
61.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
60.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
59.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
59.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
59.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
59.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
58.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
58.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
58.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
58.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
58.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
57.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
56.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
55.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
55.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
54.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
54.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
53.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
52.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
51.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
51.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
51.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
51.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
51.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
50.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
50.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
50.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
50.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
49.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
49.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
49.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
48.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
48.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
47.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
47.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
47.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
47.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
45.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
45.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
43.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
43.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
42.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
41.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
39.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
36.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
35.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
34.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
33.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
31.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
31.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
23.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
ZMAT2 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
42.3
Number of samples
207
Samples
Sample
Description
TPM
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
71.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
66.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
65.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
65.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
63.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
62.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
61.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
60.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
60.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
58.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
57.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
56.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
56.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
55.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
55.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
55.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
54.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
54.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
53.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
53.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
53.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
53.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
53.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
52.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
50.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
50.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
50.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
50.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
49.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
48.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
48.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
48.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
48.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
48.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
47.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
47.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
47.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
47.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
47.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
47.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
46.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
46.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
45.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
45.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
45.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
45.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
44.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
44.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
44.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
43.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
43.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
43.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
43.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
43.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
42.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
42.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
41.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
41.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
40.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
38.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
38.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
38.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
38.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
37.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
37.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
37.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
37.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
36.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
36.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
36.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
36.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
36.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
36.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
35.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
35.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
34.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
34.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
33.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
32.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
32.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
30.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
29.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
28.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
28.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
26.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
25.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
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Tumor
0.2
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Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
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Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
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Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
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Normal
0.1
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Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
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Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
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Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
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Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
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Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
