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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.
RHOG 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
51.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
135.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
105.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
104.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
101.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
95.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
93.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
87.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
87.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
87.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
85.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
80.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
77.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
77.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
77.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
75.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
75.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
75.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
73.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
71.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
71.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
71.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
71.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
69.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
69.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
69.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
68.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
68.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
67.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
67.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
67.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
67.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
67.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
66.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
66.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
65.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
65.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
65.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
65.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
65.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
64.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
64.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
63.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
63.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
63.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
63.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
63.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
62.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
62.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
62.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
62.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
62.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
62.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
61.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
61.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
60.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
60.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
60.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
60.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
60.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
60.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
60.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
60.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
59.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
59.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
59.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
59.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
58.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
58.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
58.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
58.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
58.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
58.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
58.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
58.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
58.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
57.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
57.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
57.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
57.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
57.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
57.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
56.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
56.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
56.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
56.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
55.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
55.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
55.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
54.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
54.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
54.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
54.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
54.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
53.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
53.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
53.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
53.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
53.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
53.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
53.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
53.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
53.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
53.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
52.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
52.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
52.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
52.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
52.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
52.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
51.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
51.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
51.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
51.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
51.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
51.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
51.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
51.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
50.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
50.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
50.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
50.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
50.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
50.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
50.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
50.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
49.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
49.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
49.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
48.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
48.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
48.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
48.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
48.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
48.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
48.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
48.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
47.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
47.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
47.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
47.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
47.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
47.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
46.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
46.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
46.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
46.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
46.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
46.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
46.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
46.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
46.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
45.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
45.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
45.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
45.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
45.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
45.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
44.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
44.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
43.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
43.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
43.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
43.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
43.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
43.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
43.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
43.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
42.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
42.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
42.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
42.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
42.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
42.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
42.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
41.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
41.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
41.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
41.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
41.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
40.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
40.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
40.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
40.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
40.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
39.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
39.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
39.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
39.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
39.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
39.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
39.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
38.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
38.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
38.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
38.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
37.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
37.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
37.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
37.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
37.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
36.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
36.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
36.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
36.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
35.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
35.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
35.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
35.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
34.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
33.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
32.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
32.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
32.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
32.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
31.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
31.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
29.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
26.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
23.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
19.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
15.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
RHOG 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
48.0
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
98.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
95.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
88.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
88.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
82.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
79.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
79.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
79.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
78.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
77.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
77.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
76.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
76.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
75.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
74.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
74.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
73.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
72.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
72.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
71.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
69.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
69.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
69.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
68.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
68.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
68.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
68.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
68.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
67.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
67.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
67.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
66.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
66.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
65.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
65.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
65.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
65.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
65.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
65.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
65.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
65.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
65.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
64.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
64.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
64.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
64.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
64.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
64.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
64.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
63.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
63.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
62.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
62.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
62.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
62.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
61.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
61.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
61.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
61.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
61.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
61.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
60.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
60.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
60.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
59.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
59.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
59.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
59.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
59.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
59.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
59.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
59.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
58.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
58.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
58.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
58.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
58.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
58.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
58.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
58.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
57.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
57.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
57.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
57.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
57.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
57.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
57.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
57.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
57.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
57.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
57.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
57.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
57.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
56.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
56.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
56.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
56.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
56.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
56.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
56.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
56.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
56.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
55.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
55.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
55.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
55.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
55.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
55.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
55.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
55.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
55.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
54.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
54.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
54.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
54.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
54.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
54.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
54.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
54.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
54.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
54.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
54.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
54.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
53.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
53.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
53.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
52.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
52.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
52.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
51.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
51.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
51.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
51.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
51.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
51.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
51.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
50.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
50.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
50.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
50.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
49.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
49.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
49.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
49.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
49.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
49.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
49.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
49.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
48.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
48.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
48.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
48.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
48.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
48.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
48.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
47.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
47.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
47.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
47.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
47.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
47.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
47.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
47.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
47.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
46.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
46.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
46.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
46.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
46.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
46.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
46.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
46.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
46.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
45.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
45.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
45.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
45.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
45.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
44.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
44.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
44.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
44.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
44.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
44.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
44.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
43.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
43.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
43.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
43.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
43.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
43.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
43.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
43.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
42.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
42.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
42.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
42.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
42.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
42.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
42.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
42.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
42.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
41.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
41.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
41.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
41.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
40.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
40.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
40.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
40.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
40.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
40.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
40.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
40.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
39.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
39.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
39.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
39.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
39.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
39.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
39.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
39.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
38.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
38.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
38.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
38.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
38.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
37.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
37.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
37.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
37.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
36.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
36.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
36.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
35.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
35.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
35.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
35.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
35.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
35.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
35.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
35.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
34.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
34.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
34.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
33.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
33.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
31.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
30.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
29.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
29.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
29.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
28.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
28.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
27.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
27.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
27.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
26.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
23.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
21.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
20.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
17.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
3.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RHOG 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
48.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
78.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
75.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
73.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
65.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
65.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
64.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
64.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
63.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
62.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
62.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
60.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
59.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
59.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
58.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
58.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
58.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
57.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
57.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
57.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
56.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
56.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
56.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
56.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
56.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
56.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
55.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
55.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
54.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
54.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
53.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
53.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
51.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
50.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
50.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
50.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
49.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
49.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
49.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
49.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
48.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
47.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
47.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
46.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
46.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
45.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
45.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
45.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
44.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
44.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
44.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
44.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
44.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
43.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
43.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
40.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
40.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
39.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
39.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
39.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
39.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
39.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
38.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
38.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
37.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
37.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
37.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
37.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
36.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
35.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
34.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
34.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
34.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
33.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
33.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
32.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
27.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
RHOG is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
42.0
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
111.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
80.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
70.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
69.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
67.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
66.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
64.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
63.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
60.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
59.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
59.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
57.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
56.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
56.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
56.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
55.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
55.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
55.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
55.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
55.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
54.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
53.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
53.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
52.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
52.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
52.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
51.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
51.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
50.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
50.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
50.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
49.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
49.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
49.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
49.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
48.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
48.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
48.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
47.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
46.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
45.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
45.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
44.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
44.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
43.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
43.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
42.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
42.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
42.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
41.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
40.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
39.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
39.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
38.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
38.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
38.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
38.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
37.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
37.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
36.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
36.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
36.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
35.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
35.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
34.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
34.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
33.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
33.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
33.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
32.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
32.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
31.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
30.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
29.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
27.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
27.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
26.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
26.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
26.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
25.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
23.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
23.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
22.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
22.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
20.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
