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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.
MCCC2 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
40.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
87.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
79.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
77.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
77.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
76.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
76.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
75.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
73.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
72.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
71.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
70.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
70.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
69.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
68.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
68.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
67.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
67.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
66.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
66.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
64.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
64.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
61.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
61.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
60.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
60.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
60.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
59.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
59.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
58.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
58.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
58.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
57.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
57.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
57.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
57.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
57.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
55.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
55.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
54.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
53.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
53.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
53.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
53.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
53.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
53.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
52.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
52.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
52.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
51.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
51.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
51.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
51.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
51.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
51.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
51.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
50.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
50.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
50.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
50.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
50.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
49.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
49.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
49.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
49.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
48.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
48.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
48.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
47.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
47.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
47.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
47.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
46.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
46.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
46.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
46.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
45.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
45.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
45.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
45.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
45.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
45.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
44.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
44.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
43.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
43.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
43.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
43.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
43.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
43.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
42.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
42.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
42.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
42.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
42.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
42.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
41.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
41.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
41.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
41.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
41.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
41.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
41.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
41.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
41.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
41.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
40.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
40.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
40.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
40.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
40.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
40.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
40.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
39.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
39.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
39.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
39.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
38.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
38.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
38.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
38.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
38.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
38.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
38.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
38.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
38.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
37.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
37.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
37.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
37.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
37.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
37.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
37.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
36.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
36.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
35.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
35.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
35.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
35.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
35.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
34.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
34.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
34.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
34.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
34.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
34.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
34.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
33.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
33.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
33.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
33.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
32.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
32.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
32.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
32.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
32.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
32.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
31.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
31.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
31.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
31.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
31.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
31.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
30.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
29.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
28.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
28.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
27.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
27.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
27.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
27.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
27.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
27.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
27.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
26.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
26.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
26.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
26.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
26.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
25.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
25.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
25.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
25.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
25.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
24.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
24.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
24.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
24.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
23.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
22.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
21.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
21.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
21.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
21.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
21.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
20.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
20.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
20.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
20.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
20.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
20.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
19.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
19.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
18.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
18.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
18.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
18.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
17.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
16.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
11.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 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.
MCCC2 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
49.1
Number of samples
486
Samples
Sample
Description
TPM
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
112.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
97.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
96.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
95.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
91.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
91.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
88.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
88.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
85.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
84.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
82.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
82.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
82.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
82.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
81.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
81.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
80.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
80.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
79.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
78.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
78.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
77.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
77.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
76.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
76.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
76.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
75.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
75.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
74.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
74.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
74.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
73.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
73.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
72.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
72.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
72.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
71.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
71.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
71.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
71.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
69.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
69.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
69.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
69.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
68.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
68.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
68.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
68.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
68.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
68.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
68.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
67.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
67.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
66.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
66.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
66.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
66.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
66.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
66.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
65.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
65.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
65.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
65.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
65.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
64.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
64.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
64.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
64.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
64.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
64.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
64.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
64.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
63.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
63.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
63.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
63.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
63.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
63.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
62.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
62.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
62.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
62.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
62.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
61.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
61.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
61.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
61.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
61.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
61.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
61.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
60.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
60.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
60.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
60.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
60.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
60.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
59.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
59.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
59.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
59.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
59.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
59.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
59.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
58.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
58.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
57.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
57.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
57.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
57.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
57.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
57.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
57.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
57.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
57.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
57.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
56.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
56.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
56.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
56.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
56.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
55.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
55.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
55.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
55.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
55.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
55.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
55.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
55.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
55.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
55.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
55.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
55.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
54.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
54.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
54.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
54.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
54.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
54.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
54.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
54.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
53.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
53.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
53.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
53.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
53.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
53.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
53.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
53.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
53.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
53.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
53.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
53.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
52.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
52.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
52.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
52.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
52.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
52.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
52.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
52.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
52.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
52.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
52.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
52.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
51.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
51.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
51.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
51.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
51.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
51.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
50.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
50.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
50.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
50.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
50.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
50.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
50.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
50.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
50.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
50.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
49.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
49.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
49.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
49.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
49.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
48.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
48.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
48.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
48.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
48.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
48.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
47.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
47.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
47.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
47.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
47.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
47.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
47.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
47.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
47.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
46.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
46.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
46.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
46.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
45.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
45.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
45.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
45.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
44.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
44.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
43.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
43.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
43.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
43.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
43.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
43.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
43.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
42.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
42.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
42.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
42.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
42.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
42.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
42.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
42.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
41.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
41.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
41.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
41.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
41.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
40.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
40.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
40.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
40.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
40.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
40.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
40.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
40.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
40.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
39.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
39.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
39.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
38.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
38.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
38.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
37.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
37.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
36.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
36.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
36.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
36.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
36.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
36.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
36.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
36.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
35.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
34.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
34.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
34.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
34.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
34.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
34.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
33.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
33.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
33.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
32.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
32.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
32.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
32.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
31.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
31.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
31.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
30.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
30.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
30.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
30.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
30.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
29.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
29.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
29.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
29.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
29.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
28.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
28.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
28.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
28.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
28.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
28.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
27.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
27.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
27.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
26.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
26.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
26.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
26.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
25.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
25.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
25.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
24.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
24.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
24.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
24.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
23.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
23.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
22.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
22.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
21.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
20.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
20.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
19.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
18.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
14.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MCCC2 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
37.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
77.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
70.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
69.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
67.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
67.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
66.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
64.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
63.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
63.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
61.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
58.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
58.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
57.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
57.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
56.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
56.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
53.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
53.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
52.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
52.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
52.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
51.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
50.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
48.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
47.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
46.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
45.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
45.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
44.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
44.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
41.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
41.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
39.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
39.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
39.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
39.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
39.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
38.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
38.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
38.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
34.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
34.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
33.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
32.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
32.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
31.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
30.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
29.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
28.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
27.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
27.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
27.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
26.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
26.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
26.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
26.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
25.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
25.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
23.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
23.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
21.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
21.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
20.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
19.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
19.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
18.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
18.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
16.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
15.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
15.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
13.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
12.2
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.
MCCC2 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
44.6
Number of samples
207
Samples
Sample
Description
TPM
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
84.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
83.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
82.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
81.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
79.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
77.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
75.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
75.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
74.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
74.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
71.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
70.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
69.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
69.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
68.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
67.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
67.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
67.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
65.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
62.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
61.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
61.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
61.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
61.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
60.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
59.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
57.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
57.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
57.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
57.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
57.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
56.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
56.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
56.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
56.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
56.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
56.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
56.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
56.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
55.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
54.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
54.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
54.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
53.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
52.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
52.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
52.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
51.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
50.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
50.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
50.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
50.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
50.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
49.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
49.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
49.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
49.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
49.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
48.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
48.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
48.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
47.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
47.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
47.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
47.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
47.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
47.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
47.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
46.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
45.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
45.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
45.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
44.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
44.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
43.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
42.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
42.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
41.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
41.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
40.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
40.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
40.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
40.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
39.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
38.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
38.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
36.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
36.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
35.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
34.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
34.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
32.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
32.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
31.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
31.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
30.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
30.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
30.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
30.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
29.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
29.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
28.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
28.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
26.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
26.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
26.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
26.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
25.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
24.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
24.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
23.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
23.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
13.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
11.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
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Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
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Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
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Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
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
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Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
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Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
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Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
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Tumor
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
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
