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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.
PRKAG1 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
43.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
80.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
79.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
75.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
74.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
72.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
71.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
66.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
65.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
62.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
61.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
61.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
60.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
60.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
59.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
59.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
58.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
58.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
57.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
57.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
57.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
57.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
57.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
56.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
56.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
56.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
56.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
55.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
55.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
54.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
54.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
53.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
53.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
52.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
52.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
52.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
51.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
51.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
51.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
51.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
50.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
50.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
49.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
49.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
49.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
49.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
49.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
49.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
48.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
48.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
48.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
48.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
48.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
48.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
48.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
47.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
47.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
47.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
46.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
46.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
46.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
46.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
46.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
46.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
46.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
46.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
46.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
46.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
46.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
46.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
46.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
46.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
46.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
45.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
45.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
45.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
45.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
45.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
45.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
45.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
45.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
45.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
45.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
45.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
45.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
45.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
45.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
45.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
44.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
44.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
44.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
44.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
44.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
44.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
44.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
44.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
44.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
44.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
43.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
43.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
43.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
43.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
43.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
43.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
43.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
43.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
43.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
42.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
42.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
42.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
42.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
42.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
42.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
42.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
42.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
42.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
42.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
42.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
41.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
41.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
41.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
41.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
41.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
41.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
41.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
41.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
41.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
40.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
40.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
40.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
40.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
40.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
40.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
40.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
40.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
39.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
39.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
39.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
39.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
39.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
39.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
39.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
39.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
39.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
39.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
39.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
39.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
39.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
39.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
38.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
38.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
38.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
38.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
38.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
38.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
38.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
38.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
38.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
38.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
37.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
37.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
37.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
37.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
37.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
37.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
36.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
36.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
36.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
36.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
36.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
36.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
36.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
36.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
36.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
35.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
35.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
35.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
35.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
35.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
35.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
35.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
34.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
34.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
34.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
34.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
34.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
34.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
34.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
34.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
34.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
34.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
34.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
33.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
33.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
33.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
33.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
33.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
32.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
32.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
32.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
31.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
31.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
30.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
29.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
29.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
28.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
27.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
27.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
26.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
25.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
24.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 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.
PRKAG1 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
50.0
Number of samples
486
Samples
Sample
Description
TPM
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
95.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
87.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
83.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
82.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
75.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
75.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
73.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
72.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
72.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
71.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
70.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
69.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
69.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
69.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
68.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
68.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
68.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
67.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
67.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
67.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
67.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
66.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
66.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
65.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
65.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
65.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
65.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
64.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
64.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
64.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
64.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
64.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
63.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
63.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
63.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
63.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
62.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
62.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
62.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
62.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
62.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
61.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
61.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
61.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
61.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
61.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
61.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
61.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
61.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
61.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
60.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
60.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
60.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
60.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
60.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
60.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
60.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
60.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
60.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
60.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
60.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
60.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
59.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
59.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
59.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
59.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
59.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
59.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
58.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
58.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
58.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
58.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
57.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
57.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
57.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
57.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
57.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
57.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
57.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
56.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
56.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
56.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
56.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
56.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
56.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
56.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
56.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
56.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
55.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
55.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
55.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
55.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
55.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
55.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
55.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
55.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
55.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
55.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
55.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
55.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
55.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
54.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
54.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
54.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
54.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
54.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
54.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
54.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
54.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
54.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
54.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
54.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
54.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
54.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
54.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
54.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
54.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
54.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
53.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
53.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
53.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
53.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
53.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
53.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
53.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
53.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
53.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
53.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
53.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
53.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
53.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
53.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
52.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
52.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
52.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
52.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
52.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
52.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
52.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
52.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
52.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
52.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
52.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
52.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
52.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
52.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
51.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
51.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
51.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
51.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
51.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
51.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
51.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
51.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
51.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
51.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
51.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
51.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
51.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
51.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
51.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
51.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
51.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
51.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
51.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
51.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
51.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
50.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
50.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
50.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
50.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
50.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
50.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
50.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
50.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
50.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
50.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
50.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
50.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
50.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
49.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
49.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
49.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
49.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
49.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
49.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
49.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
48.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
48.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
48.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
48.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
48.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
48.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
48.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
48.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
48.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
48.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
48.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
48.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
48.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
48.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
48.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
47.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
47.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
47.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
47.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
47.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
47.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
47.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
47.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
47.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
47.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
47.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
47.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
46.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
46.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
46.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
46.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
46.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
46.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
46.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
46.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
46.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
46.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
46.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
46.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
45.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
45.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
45.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
45.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
45.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
45.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
45.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
45.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
45.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
44.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
44.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
44.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
44.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
44.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
44.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
44.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
44.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
44.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
44.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
43.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
43.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
43.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
43.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
43.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
43.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
43.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
43.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
43.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
43.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
42.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
42.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
42.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
42.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
42.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
42.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
42.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
42.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
41.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
41.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
41.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
41.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
41.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
41.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
40.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
40.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
40.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
40.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
39.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
39.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
39.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
39.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
39.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
39.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
38.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
38.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
38.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
38.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
38.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
37.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
37.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
37.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
36.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
36.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
36.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
36.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
36.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
35.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
35.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
35.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
34.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
34.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
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.
PRKAG1 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
42.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
66.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
62.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
60.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
60.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
60.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
60.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
57.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
56.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
56.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
56.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
55.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
53.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
52.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
52.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
52.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
52.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
52.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
52.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
51.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
51.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
50.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
49.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
48.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
48.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
47.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
47.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
47.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
46.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
46.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
46.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
45.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
45.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
44.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
44.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
44.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
44.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
43.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
43.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
43.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
43.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
43.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
43.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
42.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
42.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
40.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
40.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
39.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
38.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
37.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
37.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
37.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
36.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
35.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
35.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
35.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
35.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
35.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
34.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
34.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
34.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
34.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
33.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
33.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
33.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
33.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
33.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
32.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
31.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
31.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
29.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
27.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
19.0
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.
PRKAG1 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
48.2
Number of samples
207
Samples
Sample
Description
TPM
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
74.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
73.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
68.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
67.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
66.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
66.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
65.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
65.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
64.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
64.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
64.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
63.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
63.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
62.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
60.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
59.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
59.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
59.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
58.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
58.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
58.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
58.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
56.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
56.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
55.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
55.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
55.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
55.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
55.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
54.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
54.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
54.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
54.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
54.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
53.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
53.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
53.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
53.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
52.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
52.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
52.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
52.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
52.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
51.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
51.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
51.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
51.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
51.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
50.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
50.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
50.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
50.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
50.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
50.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
50.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
50.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
49.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
49.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
49.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
49.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
49.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
49.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
49.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
49.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
48.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
48.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
48.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
48.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
48.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
47.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
47.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
47.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
46.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
46.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
46.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
46.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
45.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
45.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
45.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
44.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
44.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
44.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
44.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
43.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
43.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
42.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
42.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
41.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
41.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
40.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
40.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
39.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
39.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
39.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
38.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
38.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
38.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
37.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
36.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
36.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
33.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
32.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.8
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.5
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.
The Human Protein Atlas project is funded
