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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.
AK3 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
39.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
115.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
103.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
84.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
78.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
74.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
72.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
72.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
71.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
71.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
70.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
70.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
67.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
67.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
65.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
65.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
64.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
63.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
63.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
63.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
62.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
62.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
61.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
61.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
60.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
60.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
58.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
58.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
58.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
58.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
57.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
57.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
56.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
56.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
56.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
56.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
55.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
55.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
55.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
55.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
55.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
54.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
54.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
54.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
54.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
53.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
53.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
52.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
52.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
52.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
51.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
51.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
51.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
51.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
50.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
50.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
50.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
50.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
49.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
49.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
49.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
47.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
47.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
47.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
47.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
47.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
47.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
47.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
46.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
46.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
46.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
46.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
46.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
46.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
45.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
45.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
45.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
45.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
45.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
44.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
44.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
43.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
43.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
43.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
43.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
42.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
42.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
42.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
42.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
42.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
41.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
41.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
41.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
41.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
40.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
40.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
40.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
40.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
40.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
40.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
40.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
40.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
39.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
39.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
39.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
39.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
39.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
38.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
38.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
38.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
38.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
38.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
37.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
37.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
37.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
37.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
37.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
36.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
36.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
36.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
36.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
35.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
35.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
35.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
35.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
34.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
34.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
34.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
34.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
34.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
34.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
34.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
33.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
33.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
33.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
33.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
33.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
33.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
33.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
33.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
33.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
32.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
31.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
31.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
31.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
30.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
30.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
30.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
30.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
30.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
30.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
30.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
30.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
30.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
30.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
29.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
29.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
29.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
29.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
29.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
29.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
29.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
29.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
29.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
29.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
29.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
28.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
28.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
28.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
28.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
28.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
27.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
27.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
27.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
27.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
27.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
27.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
27.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
26.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
26.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
25.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
25.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
25.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
25.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
25.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
25.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
24.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
24.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
24.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
23.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
23.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
22.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
22.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
21.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
21.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
20.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
20.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
19.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
19.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
19.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
18.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
17.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
17.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
17.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
17.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
15.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 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.
AK3 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
54.8
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
265.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
101.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
98.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
97.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
96.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
93.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
91.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
90.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
90.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
89.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
89.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
89.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
89.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
87.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
86.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
85.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
85.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
84.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
84.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
84.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
84.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
84.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
83.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
82.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
82.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
82.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
82.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
81.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
81.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
81.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
80.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
80.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
80.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
79.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
79.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
79.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
79.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
78.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
77.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
76.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
76.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
76.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
76.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
75.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
75.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
75.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
75.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
75.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
75.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
75.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
75.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
74.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
74.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
74.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
74.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
74.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
74.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
74.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
74.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
74.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
73.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
73.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
73.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
73.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
72.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
72.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
72.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
72.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
72.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
72.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
72.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
71.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
70.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
70.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
70.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
70.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
69.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
69.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
69.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
68.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
68.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
68.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
68.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
68.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
68.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
68.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
67.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
67.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
67.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
66.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
66.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
66.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
66.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
66.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
66.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
66.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
66.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
65.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
65.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
65.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
65.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
65.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
65.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
65.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
65.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
64.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
64.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
64.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
64.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
64.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
64.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
64.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
63.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
63.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
63.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
63.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
63.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
63.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
63.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
62.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
62.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
62.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
62.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
62.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
62.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
62.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
61.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
61.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
61.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
61.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
61.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
61.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
61.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
60.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
60.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
60.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
60.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
60.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
60.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
60.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
60.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
60.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
60.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
60.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
60.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
60.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
59.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
59.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
59.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
59.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
59.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
59.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
59.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
59.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
59.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
59.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
59.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
59.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
59.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
59.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
59.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
59.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
59.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
58.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
58.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
58.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
58.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
58.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
58.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
58.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
58.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
58.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
58.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
58.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
57.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
57.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
57.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
57.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
57.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
57.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
57.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
57.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
57.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
57.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
57.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
57.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
57.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
57.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
56.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
56.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
56.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
56.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
56.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
56.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
56.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
56.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
55.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
55.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
55.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
55.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
55.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
55.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
55.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
55.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
55.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
54.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
54.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
54.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
54.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
54.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
54.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
53.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
53.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
53.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
53.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
53.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
53.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
53.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
53.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
53.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
52.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
52.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
52.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
52.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
52.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
52.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
52.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
51.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
51.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
51.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
51.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
51.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
50.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
50.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
50.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
50.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
50.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
50.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
50.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
49.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
49.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
49.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
49.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
49.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
49.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
49.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
48.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
48.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
48.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
48.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
47.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
47.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
47.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
47.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
47.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
47.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
46.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
46.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
46.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
46.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
46.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
45.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
45.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
45.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
45.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
45.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
45.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
45.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
44.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
44.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
44.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
44.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
44.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
44.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
44.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
44.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
44.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
44.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
43.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
43.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
43.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
43.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
43.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
43.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
42.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
42.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
42.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
42.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
41.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
41.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
41.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
41.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
40.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
40.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
40.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
40.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
40.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
40.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
40.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
40.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
39.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
39.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
38.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
38.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
38.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
38.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
38.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
37.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
37.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
37.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
36.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
36.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
35.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
35.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
34.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
33.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
33.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
33.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
33.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
33.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
32.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
32.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
31.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
31.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
30.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
30.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
30.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
29.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
29.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
29.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
29.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
28.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
28.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
28.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
27.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
26.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
25.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
24.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
22.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
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.
AK3 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
43.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
99.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
78.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
76.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
75.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
74.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
73.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
70.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
69.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
69.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
69.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
63.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
62.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
62.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
59.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
57.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
55.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
55.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
54.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
53.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
52.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
52.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
52.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
52.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
52.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
50.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
50.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
48.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
47.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
47.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
46.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
46.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
46.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
46.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
44.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
44.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
44.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
44.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
43.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
43.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
42.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
42.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
42.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
41.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
40.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
40.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
40.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
39.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
39.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
38.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
38.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
37.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
37.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
37.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
37.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
37.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
36.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
36.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
35.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
34.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
34.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
33.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
33.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
32.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
32.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
30.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
30.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
25.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
23.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
22.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
17.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
AK3 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
56.2
Number of samples
207
Samples
Sample
Description
TPM
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
110.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
108.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
100.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
98.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
97.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
93.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
91.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
90.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
87.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
86.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
86.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
84.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
84.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
82.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
82.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
81.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
78.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
77.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
75.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
75.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
74.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
74.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
72.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
72.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
72.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
71.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
70.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
69.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
69.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
69.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
69.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
69.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
69.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
68.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
68.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
68.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
68.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
67.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
67.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
66.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
66.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
66.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
66.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
66.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
65.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
65.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
65.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
64.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
64.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
64.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
63.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
63.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
63.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
62.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
62.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
61.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
61.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
60.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
60.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
60.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
59.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
59.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
59.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
59.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
59.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
58.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
58.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
58.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
58.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
58.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
58.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
58.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
57.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
57.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
57.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
56.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
56.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
56.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
56.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
55.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
55.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
55.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
55.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
55.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
55.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
54.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
54.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
54.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
54.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
54.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
54.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
54.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
53.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
53.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
53.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
53.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
53.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
52.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
52.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
52.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
52.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
52.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
50.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
50.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
50.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
50.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
50.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
49.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
49.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
49.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
49.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
49.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
49.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
49.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
48.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
48.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
48.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
47.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
47.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
47.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
47.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
46.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
46.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
45.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
45.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
44.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
44.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
43.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
43.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
42.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
42.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
42.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
42.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
42.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
41.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
41.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
38.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
38.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
35.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
30.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
30.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
30.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
1.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
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Tumor
0.3
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Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
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Tumor
0.1
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Normal
0.1
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Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Normal
0.1
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Tumor
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Normal
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Normal
-0.1
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Tumor
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Normal
-0.1
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Tumor
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Normal
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.4
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.8
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Tumor
-0.8
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Tumor
-0.8
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Tumor
-1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.