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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.
MTA2 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
52.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
117.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
89.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
79.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
79.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
77.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
77.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
77.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
76.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
76.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
75.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
75.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
75.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
73.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
72.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
72.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
72.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
72.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
71.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
71.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
71.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
70.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
70.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
69.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
69.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
69.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
69.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
68.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
68.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
68.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
67.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
67.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
66.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
66.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
66.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
66.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
66.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
65.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
65.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
65.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
65.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
64.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
64.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
64.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
63.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
63.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
62.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
62.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
62.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
62.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
62.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
62.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
62.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
61.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
61.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
61.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
61.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
61.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
60.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
60.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
60.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
60.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
60.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
60.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
60.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
60.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
60.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
60.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
60.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
60.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
60.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
59.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
59.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
59.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
59.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
59.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
58.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
58.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
58.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
58.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
58.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
58.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
57.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
57.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
57.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
57.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
57.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
57.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
56.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
56.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
56.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
56.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
55.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
55.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
55.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
55.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
55.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
55.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
55.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
54.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
54.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
54.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
54.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
54.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
54.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
54.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
54.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
54.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
54.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
53.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
53.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
53.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
53.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
52.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
52.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
52.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
52.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
52.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
52.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
52.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
51.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
51.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
51.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
51.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
51.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
50.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
50.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
50.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
50.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
50.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
50.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
50.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
50.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
50.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
50.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
49.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
49.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
49.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
49.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
49.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
49.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
49.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
49.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
49.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
49.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
48.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
48.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
48.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
48.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
48.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
48.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
47.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
47.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
47.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
47.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
47.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
47.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
47.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
47.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
47.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
47.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
47.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
46.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
46.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
46.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
46.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
46.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
46.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
46.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
45.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
45.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
45.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
45.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
45.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
45.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
45.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
44.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
44.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
44.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
44.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
43.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
43.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
43.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
43.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
43.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
43.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
42.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
42.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
42.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
42.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
42.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
42.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
41.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
41.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
41.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
40.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
40.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
40.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
40.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
39.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
39.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
38.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
37.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
37.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
36.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
36.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
36.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
36.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
35.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
35.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
35.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
35.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
34.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
34.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
34.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
34.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
33.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
32.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
32.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
32.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
32.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
32.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
30.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
29.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
20.6
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.
MTA2 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
63.3
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
122.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
102.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
102.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
100.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
99.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
97.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
97.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
96.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
96.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
95.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
94.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
94.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
93.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
93.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
93.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
92.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
92.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
92.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
92.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
92.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
91.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
90.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
90.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
90.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
88.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
88.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
88.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
87.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
87.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
87.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
87.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
87.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
87.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
86.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
86.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
85.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
85.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
85.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
85.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
84.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
84.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
84.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
84.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
84.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
83.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
83.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
83.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
83.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
83.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
82.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
82.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
82.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
82.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
82.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
81.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
81.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
81.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
81.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
81.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
81.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
81.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
81.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
81.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
80.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
80.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
80.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
80.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
80.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
80.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
80.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
79.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
79.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
79.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
79.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
79.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
79.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
79.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
78.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
77.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
77.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
77.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
77.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
76.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
76.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
76.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
76.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
76.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
76.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
76.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
76.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
76.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
76.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
76.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
76.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
75.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
75.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
75.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
75.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
75.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
75.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
75.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
75.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
75.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
75.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
75.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
75.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
75.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
75.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
75.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
75.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
74.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
74.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
74.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
74.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
73.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
73.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
73.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
73.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
73.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
73.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
73.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
72.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
72.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
72.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
72.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
72.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
72.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
72.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
72.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
72.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
72.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
72.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
72.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
72.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
72.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
72.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
72.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
71.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
71.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
71.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
71.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
71.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
71.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
71.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
71.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
71.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
71.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
70.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
70.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
70.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
70.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
70.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
70.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
70.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
70.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
70.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
69.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
69.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
69.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
69.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
69.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
69.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
68.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
68.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
68.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
68.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
68.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
68.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
68.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
67.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
67.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
67.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
67.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
67.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
67.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
67.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
67.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
66.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
66.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
66.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
66.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
66.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
66.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
66.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
66.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
65.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
65.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
65.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
65.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
65.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
65.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
65.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
65.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
65.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
65.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
65.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
64.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
64.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
64.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
64.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
64.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
64.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
64.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
64.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
64.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
63.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
63.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
63.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
63.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
63.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
63.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
63.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
63.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
62.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
62.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
62.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
62.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
62.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
62.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
62.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
62.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
62.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
62.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
62.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
62.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
62.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
62.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
61.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
61.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
61.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
61.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
61.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
61.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
61.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
61.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
61.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
61.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
61.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
60.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
60.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
60.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
60.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
60.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
60.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
60.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
60.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
60.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
59.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
59.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
59.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
59.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
59.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
59.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
59.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
59.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
59.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
59.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
59.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
59.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
58.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
58.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
58.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
58.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
58.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
58.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
58.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
58.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
58.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
58.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
57.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
57.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
57.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
57.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
57.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
57.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
57.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
57.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
57.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
57.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
57.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
56.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
56.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
56.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
56.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
56.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
56.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
56.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
56.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
56.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
56.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
56.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
56.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
56.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
56.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
56.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
56.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
55.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
55.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
55.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
55.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
55.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
55.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
55.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
55.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
54.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
54.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
54.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
54.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
54.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
54.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
54.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
54.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
54.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
53.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
53.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
53.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
53.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
53.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
53.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
53.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
53.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
52.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
52.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
52.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
52.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
52.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
52.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
52.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
52.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
51.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
51.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
51.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
51.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
51.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
51.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
51.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
51.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
51.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
50.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
50.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
50.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
50.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
50.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
50.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
50.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
50.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
49.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
49.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
49.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
49.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
48.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
48.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
48.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
48.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
48.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
48.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
48.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
47.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
47.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
47.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
47.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
47.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
46.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
46.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
46.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
46.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
45.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
44.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
44.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
44.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
44.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
44.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
44.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
44.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
43.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
43.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
42.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
42.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
41.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
41.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
41.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
41.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
38.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
38.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
38.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
35.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
35.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
34.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
34.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
22.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
MTA2 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
47.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
81.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
81.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
80.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
72.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
67.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
66.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
65.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
65.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
64.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
64.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
63.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
62.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
60.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
60.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
60.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
58.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
57.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
57.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
57.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
57.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
57.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
56.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
55.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
55.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
54.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
54.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
54.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
53.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
52.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
52.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
51.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
51.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
51.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
50.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
50.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
50.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
50.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
50.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
50.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
49.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
49.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
49.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
49.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
48.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
48.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
47.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
45.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
44.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
44.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
44.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
43.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
42.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
41.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
41.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
41.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
40.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
38.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
38.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
37.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
37.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
37.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
36.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
36.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
36.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
36.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
36.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
35.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
29.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
28.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
28.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
28.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
28.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
27.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
26.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MTA2 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
57.6
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
104.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
92.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
88.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
87.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
87.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
82.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
81.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
81.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
78.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
78.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
77.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
76.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
76.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
76.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
76.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
75.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
75.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
75.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
73.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
73.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
73.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
72.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
71.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
71.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
71.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
71.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
71.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
70.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
70.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
70.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
70.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
70.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
69.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
69.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
69.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
69.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
68.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
68.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
68.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
68.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
67.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
67.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
67.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
67.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
67.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
67.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
67.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
66.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
66.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
66.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
66.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
65.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
65.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
65.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
65.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
64.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
64.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
64.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
64.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
63.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
62.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
62.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
62.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
62.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
62.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
62.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
62.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
61.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
61.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
61.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
60.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
60.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
60.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
60.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
60.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
60.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
60.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
59.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
59.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
59.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
59.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
59.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
58.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
58.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
58.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
58.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
57.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
57.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
57.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
57.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
57.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
57.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
57.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
57.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
56.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
56.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
56.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
55.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
55.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
55.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
55.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
55.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
54.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
54.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
54.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
54.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
54.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
54.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
54.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
53.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
53.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
53.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
52.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
52.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
52.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
52.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
51.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
51.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
51.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
51.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
51.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
51.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
50.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
50.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
50.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
50.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
50.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
50.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
50.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
50.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
49.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
48.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
48.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
48.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
46.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
46.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
46.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
44.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
43.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
43.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
43.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
38.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
35.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
34.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
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Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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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
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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
1425a1a1-c835-47a2-a9b9-4db5d0_D8
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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Normal
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
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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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
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
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Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
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Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
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Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
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Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
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Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
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Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
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Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
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Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
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
