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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.
API5 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
42.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
89.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
81.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
79.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
78.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
73.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
72.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
68.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
68.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
67.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
65.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
65.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
61.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
61.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
60.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
60.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
60.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
60.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
60.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
59.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
59.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
58.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
58.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
58.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
58.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
57.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
57.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
57.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
57.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
56.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
56.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
56.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
56.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
56.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
55.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
55.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
55.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
54.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
54.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
53.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
53.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
53.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
53.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
52.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
52.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
52.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
52.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
52.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
51.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
51.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
51.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
51.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
51.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
51.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
50.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
50.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
50.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
50.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
50.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
50.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
49.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
49.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
49.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
49.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
49.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
49.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
49.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
49.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
49.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
48.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
48.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
48.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
48.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
48.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
48.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
47.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
47.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
47.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
47.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
47.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
47.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
47.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
46.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
46.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
46.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
46.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
46.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
46.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
46.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
46.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
45.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
45.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
45.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
45.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
45.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
45.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
44.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
44.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
44.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
43.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
43.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
43.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
43.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
43.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
43.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
43.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
42.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
42.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
42.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
42.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
42.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
42.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
41.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
41.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
41.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
41.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
41.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
41.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
41.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
41.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
40.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
40.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
40.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
40.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
40.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
40.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
40.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
40.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
40.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
39.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
39.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
39.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
39.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
38.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
38.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
38.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
38.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
37.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
37.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
37.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
37.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
37.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
37.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
37.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
37.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
37.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
36.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
36.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
36.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
36.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
36.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
36.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
36.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
35.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
35.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
35.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
35.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
35.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
35.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
35.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
35.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
34.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
34.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
34.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
34.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
34.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
33.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
33.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
33.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
33.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
33.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
33.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
33.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
33.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
33.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
33.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
33.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
33.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
33.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
32.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
32.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
32.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
32.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
32.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
32.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
32.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
31.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
31.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
30.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
30.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
30.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
30.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
30.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
30.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
30.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
30.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
29.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
29.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
28.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
28.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
27.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
27.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
27.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
27.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
27.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
26.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
25.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
25.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
24.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
24.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
23.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
23.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
20.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
API5 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
68.9
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
180.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
136.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
119.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
114.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
109.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
107.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
106.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
104.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
103.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
100.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
99.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
97.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
97.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
97.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
96.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
96.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
96.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
95.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
95.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
95.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
95.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
94.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
93.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
93.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
91.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
91.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
90.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
90.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
90.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
90.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
90.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
89.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
89.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
89.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
88.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
88.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
88.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
88.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
87.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
87.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
87.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
87.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
86.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
86.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
86.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
86.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
86.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
86.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
86.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
86.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
86.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
86.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
85.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
85.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
85.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
85.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
85.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
85.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
85.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
85.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
85.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
84.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
84.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
84.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
84.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
84.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
84.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
83.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
83.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
83.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
83.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
83.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
83.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
82.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
82.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
82.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
82.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
82.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
82.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
82.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
81.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
81.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
81.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
81.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
81.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
81.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
81.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
80.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
80.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
80.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
80.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
80.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
80.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
80.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
80.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
80.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
80.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
80.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
80.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
80.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
79.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
79.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
79.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
79.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
79.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
79.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
79.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
79.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
78.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
78.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
78.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
78.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
78.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
78.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
78.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
77.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
77.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
77.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
77.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
77.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
77.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
77.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
77.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
77.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
77.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
77.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
76.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
76.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
76.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
76.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
76.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
76.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
76.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
76.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
76.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
76.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
76.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
76.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
75.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
75.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
75.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
75.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
75.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
75.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
75.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
75.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
75.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
74.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
74.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
74.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
74.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
74.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
74.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
73.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
73.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
73.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
73.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
73.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
73.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
73.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
73.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
73.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
73.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
73.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
72.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
72.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
72.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
72.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
72.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
72.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
72.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
72.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
72.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
72.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
72.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
72.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
72.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
72.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
72.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
71.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
71.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
71.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
71.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
71.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
71.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
71.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
71.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
71.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
71.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
71.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
71.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
71.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
71.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
71.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
71.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
71.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
71.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
71.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
70.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
70.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
70.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
70.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
70.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
70.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
70.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
70.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
70.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
70.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
70.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
70.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
69.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
69.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
69.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
69.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
69.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
69.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
69.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
69.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
69.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
69.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
69.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
68.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
68.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
68.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
68.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
68.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
68.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
68.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
68.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
68.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
68.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
68.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
68.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
68.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
68.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
68.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
68.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
67.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
67.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
67.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
67.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
67.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
67.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
67.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
67.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
67.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
67.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
67.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
67.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
67.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
67.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
67.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
67.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
66.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
66.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
66.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
66.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
66.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
66.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
66.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
66.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
66.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
66.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
66.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
66.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
66.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
66.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
66.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
66.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
66.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
66.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
66.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
65.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
65.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
65.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
65.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
65.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
65.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
65.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
65.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
65.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
65.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
65.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
65.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
65.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
64.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
64.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
64.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
64.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
64.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
64.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
64.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
64.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
64.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
64.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
64.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
64.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
63.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
63.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
63.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
63.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
63.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
63.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
63.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
63.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
63.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
63.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
63.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
63.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
62.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
62.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
62.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
62.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
62.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
62.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
62.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
62.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
62.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
61.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
61.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
61.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
61.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
61.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
61.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
60.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
60.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
60.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
60.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
60.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
60.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
60.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
60.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
59.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
59.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
59.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
59.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
59.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
59.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
59.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
59.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
58.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
58.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
58.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
58.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
58.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
58.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
57.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
57.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
57.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
57.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
57.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
57.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
56.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
56.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
56.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
56.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
56.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
56.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
56.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
56.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
55.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
55.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
55.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
55.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
54.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
54.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
54.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
54.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
54.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
54.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
53.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
53.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
53.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
53.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
52.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
52.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
52.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
52.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
52.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
52.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
52.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
52.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
51.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
51.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
51.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
51.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
50.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
50.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
50.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
50.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
49.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
49.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
49.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
49.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
49.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
48.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
48.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
48.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
47.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
46.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
46.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
46.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
45.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
44.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
44.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
44.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
43.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
42.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
41.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
40.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
38.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
API5 is potential prognostic, high expression is favorable 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
45.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
89.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
84.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
82.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
78.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
71.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
71.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
71.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
68.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
68.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
67.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
62.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
61.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
60.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
59.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
57.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
56.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
56.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
56.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
55.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
54.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
52.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
52.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
52.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
52.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
51.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
50.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
49.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
49.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
48.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
48.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
48.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
48.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
48.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
47.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
47.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
47.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
46.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
46.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
46.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
45.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
45.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
45.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
45.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
45.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
44.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
44.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
43.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
42.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
42.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
41.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
40.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
40.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
39.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
39.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
38.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
37.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
37.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
36.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
36.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
35.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
34.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
34.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
34.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
34.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
33.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
32.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
31.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
30.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
29.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
29.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
28.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
27.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
26.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
26.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
22.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
20.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
19.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
API5 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
64.7
Number of samples
207
Samples
Sample
Description
TPM
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
114.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
112.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
111.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
110.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
106.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
99.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
94.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
94.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
94.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
94.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
92.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
91.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
90.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
88.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
87.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
86.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
86.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
85.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
85.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
85.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
84.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
83.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
80.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
79.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
79.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
79.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
79.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
78.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
78.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
77.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
76.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
76.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
76.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
76.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
76.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
75.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
75.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
75.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
75.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
75.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
74.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
74.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
74.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
74.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
72.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
72.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
71.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
71.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
71.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
71.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
71.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
71.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
71.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
70.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
70.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
70.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
70.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
70.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
70.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
69.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
69.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
69.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
69.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
68.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
68.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
68.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
68.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
68.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
68.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
67.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
67.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
67.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
67.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
67.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
67.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
67.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
67.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
67.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
66.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
66.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
66.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
66.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
66.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
66.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
66.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
66.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
66.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
66.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
65.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
65.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
65.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
65.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
65.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
65.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
65.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
65.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
65.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
65.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
64.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
64.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
64.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
64.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
63.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
63.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
63.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
63.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
63.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
63.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
63.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
63.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
62.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
61.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
61.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
61.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
61.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
60.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
60.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
60.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
60.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
60.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
60.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
58.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
58.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
58.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
58.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
57.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
57.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
57.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
57.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
57.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
57.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
57.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
57.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
56.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
56.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
56.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
56.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
56.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
56.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
56.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
56.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
55.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
55.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
55.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
55.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
55.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
55.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
55.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
55.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
54.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
54.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
54.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
54.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
54.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
54.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
53.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
53.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
53.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
52.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
52.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
52.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
52.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
51.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
51.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
51.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
50.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
50.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
50.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
50.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
48.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
47.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
47.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
46.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
46.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
46.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
43.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
40.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
39.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
38.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
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Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
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Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
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Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
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Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
