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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.
CXADR 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
27.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
121.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
90.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
84.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
83.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
82.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
81.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
78.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
75.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
73.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
67.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
65.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
62.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
58.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
58.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
57.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
57.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
56.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
55.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
55.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
52.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
51.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
51.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
50.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
49.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
47.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
46.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
46.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
45.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
45.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
45.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
44.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
43.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
43.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
42.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
42.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
42.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
42.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
42.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
41.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
41.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
40.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
40.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
40.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
40.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
39.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
39.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
39.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
38.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
38.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
38.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
38.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
36.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
36.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
35.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
35.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
35.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
34.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
33.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
33.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
33.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
33.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
33.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
33.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
32.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
32.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
32.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
32.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
30.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
29.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
29.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
29.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
29.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
29.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
29.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
29.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
28.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
28.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
28.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
27.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
27.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
27.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
27.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
27.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
26.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
26.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
26.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
26.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
25.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
25.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
25.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
25.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
25.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
25.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
24.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
24.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
24.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
24.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
23.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
23.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
23.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
23.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
23.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
23.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
23.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
23.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
23.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
23.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
22.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
22.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
22.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
22.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
22.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
21.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
21.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
21.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
21.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
21.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
21.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
20.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
20.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
20.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
20.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
20.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
20.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
20.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
20.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
19.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
19.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
19.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
19.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
19.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
18.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
18.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
18.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
18.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
18.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
18.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
18.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
18.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
18.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
18.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
18.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
17.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
17.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
17.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
17.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
17.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
17.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
16.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
16.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
16.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
16.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
16.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
16.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
16.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
15.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
15.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
15.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
15.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
15.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
15.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
14.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
14.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
14.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
14.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
14.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
14.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
13.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
13.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
13.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
13.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
12.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
12.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
12.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
11.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
11.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
11.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
10.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
10.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
10.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
10.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
9.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
9.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
9.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
6.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
5.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
2.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 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.
CXADR 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
62.0
Number of samples
486
Samples
Sample
Description
TPM
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
221.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
184.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
182.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
154.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
151.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
131.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
130.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
129.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
127.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
122.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
122.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
120.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
119.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
119.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
119.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
119.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
117.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
115.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
115.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
114.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
114.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
113.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
113.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
113.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
112.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
111.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
106.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
105.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
105.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
104.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
104.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
103.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
103.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
101.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
101.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
101.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
101.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
101.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
101.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
100.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
99.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
99.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
98.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
97.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
96.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
96.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
96.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
95.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
95.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
95.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
95.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
95.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
94.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
93.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
93.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
93.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
93.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
92.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
92.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
91.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
91.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
90.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
90.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
89.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
89.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
89.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
88.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
88.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
87.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
86.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
86.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
85.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
85.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
85.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
85.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
84.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
84.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
84.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
84.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
84.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
83.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
83.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
83.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
82.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
82.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
82.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
82.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
82.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
82.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
82.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
82.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
82.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
81.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
81.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
81.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
81.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
81.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
81.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
81.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
81.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
80.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
80.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
79.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
79.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
79.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
79.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
79.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
78.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
78.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
78.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
77.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
77.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
77.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
77.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
77.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
77.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
77.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
77.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
76.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
76.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
76.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
76.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
76.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
76.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
75.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
75.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
75.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
75.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
75.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
75.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
74.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
74.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
74.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
74.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
74.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
74.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
73.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
73.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
73.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
73.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
72.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
72.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
72.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
72.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
72.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
72.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
72.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
72.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
72.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
72.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
71.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
71.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
71.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
71.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
71.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
70.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
70.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
70.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
70.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
70.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
70.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
70.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
69.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
69.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
69.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
69.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
69.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
68.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
68.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
68.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
68.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
68.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
68.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
68.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
68.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
68.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
68.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
68.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
68.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
67.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
67.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
67.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
67.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
66.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
66.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
66.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
65.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
65.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
65.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
65.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
65.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
64.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
64.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
64.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
64.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
64.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
64.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
64.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
64.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
63.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
62.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
62.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
62.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
62.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
62.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
62.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
62.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
62.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
61.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
61.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
61.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
61.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
60.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
60.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
60.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
60.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
60.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
60.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
60.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
59.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
59.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
59.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
59.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
58.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
58.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
58.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
58.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
58.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
58.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
58.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
58.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
58.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
58.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
57.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
57.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
57.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
57.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
57.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
56.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
56.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
56.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
56.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
56.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
56.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
56.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
56.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
56.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
56.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
55.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
55.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
55.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
55.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
55.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
55.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
54.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
54.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
54.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
53.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
53.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
53.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
53.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
53.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
53.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
53.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
53.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
52.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
52.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
52.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
51.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
51.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
51.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
50.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
50.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
49.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
49.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
49.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
48.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
48.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
48.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
48.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
48.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
47.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
47.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
47.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
47.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
47.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
47.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
46.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
46.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
46.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
46.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
46.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
46.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
46.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
46.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
45.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
45.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
45.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
45.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
44.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
44.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
44.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
44.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
43.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
42.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
42.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
42.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
41.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
41.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
40.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
40.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
40.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
40.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
40.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
40.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
40.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
39.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
39.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
39.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
38.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
37.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
37.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
37.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
37.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
37.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
37.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
36.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
36.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
36.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
36.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
36.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
35.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
34.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
34.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
34.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
34.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
34.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
34.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
33.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
33.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
33.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
32.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
31.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
31.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
31.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
31.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
30.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
30.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
30.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
28.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
28.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
27.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
27.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
27.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
27.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
27.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
25.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
25.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
24.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
24.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
24.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
24.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
22.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
22.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
21.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
20.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
20.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
18.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
17.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
17.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
17.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
16.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
15.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
14.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
13.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
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.
CXADR is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
29.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
123.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
101.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
93.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
80.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
71.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
55.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
51.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
49.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
46.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
44.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
43.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
42.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
41.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
41.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
41.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
40.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
40.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
39.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
37.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
37.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
37.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
36.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
35.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
32.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
32.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
31.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
31.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
31.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
30.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
29.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
27.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
27.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
27.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
27.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
26.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
26.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
25.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
25.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
25.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
25.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
24.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
24.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
22.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
22.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
21.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
21.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
21.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
21.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
21.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
20.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
19.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
19.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
19.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
19.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
19.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
17.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
17.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
17.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
16.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
16.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
16.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
15.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
15.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
14.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
13.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
13.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
11.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
7.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CXADR 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
62.8
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
162.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
153.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
140.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
133.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
122.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
119.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
117.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
115.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
112.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
112.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
109.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
108.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
108.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
108.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
107.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
104.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
103.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
103.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
102.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
99.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
98.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
97.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
93.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
93.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
91.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
91.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
88.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
88.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
88.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
87.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
87.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
87.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
87.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
86.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
84.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
84.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
84.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
83.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
83.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
83.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
82.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
82.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
80.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
80.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
80.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
79.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
79.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
78.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
78.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
78.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
77.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
77.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
77.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
77.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
77.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
76.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
75.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
75.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
74.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
73.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
72.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
72.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
72.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
71.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
70.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
70.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
69.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
69.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
69.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
69.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
68.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
67.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
67.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
65.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
65.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
65.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
64.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
64.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
64.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
63.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
63.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
63.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
63.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
63.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
63.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
63.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
62.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
62.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
62.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
62.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
62.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
62.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
62.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
61.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
61.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
60.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
60.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
60.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
59.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
59.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
59.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
59.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
59.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
59.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
58.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
57.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
57.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
57.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
57.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
56.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
56.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
56.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
56.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
55.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
55.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
55.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
54.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
54.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
53.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
52.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
52.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
52.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
52.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
51.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
50.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
50.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
50.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
49.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
47.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
46.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
45.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
43.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
42.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
41.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
40.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
40.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
40.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
40.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
40.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
40.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
39.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
39.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
38.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
38.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
36.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
35.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
35.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
34.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
33.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
31.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
31.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
31.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
29.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
28.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
28.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
27.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
23.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
22.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
21.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
15.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
15.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
1.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
1.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
