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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.
MOB1A 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
36.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
108.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
73.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
65.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
62.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
58.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
58.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
57.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
57.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
56.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
55.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
55.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
54.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
54.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
54.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
53.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
52.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
52.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
52.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
52.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
51.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
50.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
50.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
49.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
49.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
48.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
47.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
47.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
47.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
46.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
45.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
44.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
44.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
44.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
44.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
44.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
43.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
43.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
43.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
43.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
43.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
42.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
42.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
41.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
41.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
41.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
41.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
41.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
41.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
40.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
40.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
40.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
39.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
39.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
39.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
39.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
38.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
38.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
38.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
38.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
38.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
38.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
38.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
38.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
38.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
38.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
38.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
37.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
37.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
37.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
37.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
37.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
37.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
37.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
37.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
36.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
36.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
36.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
36.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
36.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
36.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
36.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
36.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
36.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
36.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
36.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
35.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
35.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
35.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
35.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
35.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
35.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
35.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
34.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
34.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
34.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
34.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
34.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
34.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
34.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
34.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
34.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
34.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
33.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
33.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
33.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
33.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
33.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
33.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
33.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
33.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
33.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
33.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
33.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
33.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
33.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
32.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
32.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
31.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
31.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
31.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
31.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
31.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
30.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
30.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
30.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
30.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
30.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
30.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
30.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
30.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
30.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
30.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
30.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
30.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
30.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
30.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
29.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
29.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
29.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
29.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
29.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
29.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
29.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
29.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
29.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
29.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
29.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
29.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
29.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
28.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
28.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
28.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
28.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
28.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
28.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
27.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
27.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
27.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
27.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
27.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
26.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
26.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
26.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
26.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
25.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
25.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
25.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
25.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
25.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
25.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
24.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
24.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
24.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
23.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
23.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
23.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
22.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
22.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
22.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
20.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
19.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 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.
MOB1A is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
63.8
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
120.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
101.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
99.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
96.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
94.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
93.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
93.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
93.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
93.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
92.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
92.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
92.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
91.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
91.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
90.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
89.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
89.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
88.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
87.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
87.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
87.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
86.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
86.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
86.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
85.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
85.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
85.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
85.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
85.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
85.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
85.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
84.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
84.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
84.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
84.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
84.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
83.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
83.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
83.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
83.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
82.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
82.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
82.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
81.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
81.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
81.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
81.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
81.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
81.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
80.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
80.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
80.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
80.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
80.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
79.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
79.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
79.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
79.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
78.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
78.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
78.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
78.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
78.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
78.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
78.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
78.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
78.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
78.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
78.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
78.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
78.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
77.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
77.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
77.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
77.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
77.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
76.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
76.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
76.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
76.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
76.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
76.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
75.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
75.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
75.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
75.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
74.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
74.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
74.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
74.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
74.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
74.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
74.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
73.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
73.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
73.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
73.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
73.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
73.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
73.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
73.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
73.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
73.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
73.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
73.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
73.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
73.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
73.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
72.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
72.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
72.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
72.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
72.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
72.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
72.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
72.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
72.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
72.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
71.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
71.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
71.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
71.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
71.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
71.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
71.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
71.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
71.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
70.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
70.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
70.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
70.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
70.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
70.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
70.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
70.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
70.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
70.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
70.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
69.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
69.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
69.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
69.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
69.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
69.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
69.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
69.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
69.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
69.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
68.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
68.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
68.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
68.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
68.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
68.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
68.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
68.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
68.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
68.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
67.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
67.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
67.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
67.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
67.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
67.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
67.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
67.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
67.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
67.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
67.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
67.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
67.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
66.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
66.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
66.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
66.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
66.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
66.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
66.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
66.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
66.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
66.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
66.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
66.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
66.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
66.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
66.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
66.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
65.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
65.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
65.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
65.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
65.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
65.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
65.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
65.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
65.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
65.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
64.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
64.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
64.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
64.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
64.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
64.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
64.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
64.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
64.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
64.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
64.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
64.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
64.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
64.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
64.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
64.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
64.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
64.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
64.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
63.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
63.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
63.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
63.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
63.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
63.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
63.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
63.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
63.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
63.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
63.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
62.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
62.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
62.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
62.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
62.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
62.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
62.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
62.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
62.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
62.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
61.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
61.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
61.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
61.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
61.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
61.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
61.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
61.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
61.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
61.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
60.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
60.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
60.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
60.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
60.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
60.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
60.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
60.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
60.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
60.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
60.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
60.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
60.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
60.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
60.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
60.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
60.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
60.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
59.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
59.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
59.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
59.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
59.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
59.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
59.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
59.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
59.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
59.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
59.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
59.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
59.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
58.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
58.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
58.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
58.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
58.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
58.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
58.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
58.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
58.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
58.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
57.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
57.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
57.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
57.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
57.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
57.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
57.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
57.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
57.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
57.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
57.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
57.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
57.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
57.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
57.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
57.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
56.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
56.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
56.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
56.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
56.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
56.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
56.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
56.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
55.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
55.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
55.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
55.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
55.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
55.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
55.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
55.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
55.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
55.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
54.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
54.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
54.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
54.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
54.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
54.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
54.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
54.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
54.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
53.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
53.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
53.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
53.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
53.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
53.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
53.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
52.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
52.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
52.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
51.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
51.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
51.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
51.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
51.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
50.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
50.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
50.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
50.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
49.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
49.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
49.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
49.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
49.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
49.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
48.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
48.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
48.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
48.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
48.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
48.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
48.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
48.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
48.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
47.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
47.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
47.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
46.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
46.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
46.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
46.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
46.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
46.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
45.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
45.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
45.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
45.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
45.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
41.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
41.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
34.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
28.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
MOB1A 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
37.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
68.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
66.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
61.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
58.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
53.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
51.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
51.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
50.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
50.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
49.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
48.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
48.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
48.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
47.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
47.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
47.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
46.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
46.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
46.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
46.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
46.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
43.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
42.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
42.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
42.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
41.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
41.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
41.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
39.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
38.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
38.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
38.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
37.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
37.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
37.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
37.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
37.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
36.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
36.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
36.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
35.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
35.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
35.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
35.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
35.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
33.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
32.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
32.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
31.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
31.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
31.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
31.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
30.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
30.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
30.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
29.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
27.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
27.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
27.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
27.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
26.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
26.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
26.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
25.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
24.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
21.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
16.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
15.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.8
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.
MOB1A 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
60.2
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
106.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
102.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
96.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
88.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
86.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
85.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
82.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
82.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
81.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
81.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
80.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
79.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
79.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
75.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
75.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
75.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
75.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
74.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
73.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
73.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
73.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
72.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
72.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
72.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
71.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
71.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
71.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
71.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
71.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
70.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
70.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
70.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
70.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
70.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
69.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
69.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
69.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
69.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
69.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
69.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
68.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
68.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
68.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
68.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
68.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
68.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
67.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
67.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
67.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
67.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
67.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
67.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
66.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
66.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
66.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
66.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
66.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
65.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
65.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
65.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
65.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
64.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
64.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
64.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
64.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
64.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
64.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
64.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
63.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
63.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
63.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
63.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
63.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
62.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
62.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
62.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
62.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
62.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
62.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
62.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
62.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
62.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
62.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
61.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
61.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
61.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
61.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
60.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
60.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
60.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
60.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
60.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
60.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
59.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
59.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
59.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
59.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
59.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
58.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
58.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
58.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
58.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
58.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
58.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
58.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
58.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
58.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
57.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
57.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
57.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
57.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
57.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
57.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
56.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
56.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
56.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
55.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
55.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
55.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
54.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
54.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
54.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
54.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
54.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
54.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
54.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
54.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
53.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
53.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
53.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
53.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
53.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
52.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
51.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
51.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
51.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
51.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
51.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
50.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
50.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
50.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
48.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
48.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
48.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
48.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
47.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
47.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
47.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
46.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
46.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
46.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
45.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
43.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
40.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
37.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
35.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
32.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
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Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
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Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
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Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
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Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
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Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
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Tumor
0.0
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Normal
0.0
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Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
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
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_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
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
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Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
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Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
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Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
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Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
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Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
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
