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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.
TBL1XR1 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
22.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
212.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
112.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
100.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
95.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
84.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
76.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
62.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
57.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
53.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
50.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
46.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
46.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
42.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
39.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
39.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
38.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
35.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
35.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
35.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
34.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
34.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
34.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
34.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
34.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
34.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
33.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
33.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
33.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
33.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
33.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
32.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
32.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
31.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
31.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
30.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
29.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
29.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
29.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
29.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
29.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
28.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
28.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
28.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
27.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
27.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
27.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
27.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
26.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
26.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
26.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
26.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
26.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
26.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
26.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
25.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
25.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
25.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
25.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
24.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
24.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
24.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
24.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
24.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
24.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
23.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
23.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
23.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
23.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
23.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
22.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
22.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
22.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
22.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
22.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
22.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
22.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
22.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
22.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
22.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
22.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
22.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
21.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
21.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
21.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
20.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
20.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
20.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
20.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
20.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
19.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
19.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
19.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
19.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
19.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
19.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
19.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
19.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
19.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
19.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
19.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
19.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
19.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
19.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
19.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
18.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
18.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
18.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
18.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
18.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
18.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
18.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
18.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
18.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
17.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
17.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
17.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
17.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
17.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
17.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
17.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
17.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
17.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
17.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
17.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
16.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
16.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
16.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
16.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
15.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
15.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
15.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
15.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
14.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
14.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
14.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
14.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
14.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
14.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
14.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
14.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
14.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
13.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
13.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
13.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
13.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
12.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
12.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
12.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
12.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
12.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
11.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
11.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
11.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
10.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
10.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
10.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
10.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
10.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
10.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
9.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
9.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
9.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
9.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
8.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
8.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
8.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
7.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
6.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
6.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
TBL1XR1 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
134.5
Number of samples
486
Samples
Sample
Description
TPM
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
340.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
262.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
259.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
258.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
245.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
241.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
232.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
222.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
219.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
210.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
207.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
205.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
201.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
200.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
196.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
194.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
194.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
194.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
192.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
192.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
191.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
191.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
191.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
190.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
187.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
185.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
184.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
184.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
183.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
183.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
182.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
181.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
181.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
181.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
179.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
179.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
178.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
178.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
177.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
177.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
177.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
176.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
176.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
176.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
175.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
174.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
174.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
173.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
173.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
173.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
173.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
173.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
171.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
170.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
170.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
170.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
170.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
169.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
168.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
168.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
168.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
167.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
167.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
167.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
167.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
166.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
165.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
165.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
164.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
164.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
164.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
163.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
163.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
163.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
162.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
162.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
162.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
161.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
161.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
161.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
160.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
160.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
160.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
160.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
160.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
160.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
159.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
159.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
157.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
157.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
157.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
156.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
156.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
156.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
155.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
155.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
155.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
154.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
154.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
153.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
153.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
153.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
153.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
153.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
152.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
152.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
152.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
151.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
151.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
151.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
151.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
151.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
150.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
150.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
150.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
150.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
150.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
149.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
149.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
149.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
149.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
149.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
149.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
149.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
149.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
148.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
148.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
148.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
148.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
148.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
147.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
147.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
147.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
147.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
146.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
146.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
146.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
146.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
146.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
146.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
145.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
145.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
145.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
145.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
145.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
145.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
144.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
144.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
144.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
143.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
143.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
143.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
143.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
143.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
143.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
143.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
143.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
143.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
143.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
142.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
142.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
142.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
142.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
142.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
142.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
141.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
141.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
141.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
141.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
141.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
141.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
141.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
141.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
140.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
140.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
140.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
140.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
140.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
140.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
140.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
140.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
139.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
139.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
139.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
139.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
139.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
139.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
139.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
138.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
138.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
138.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
138.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
138.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
138.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
138.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
138.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
137.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
137.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
137.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
137.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
137.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
136.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
136.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
136.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
136.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
136.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
136.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
135.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
135.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
135.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
135.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
135.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
135.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
135.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
135.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
135.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
135.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
134.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
134.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
134.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
134.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
134.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
133.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
133.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
133.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
133.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
133.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
133.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
133.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
133.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
133.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
133.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
133.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
133.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
133.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
132.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
132.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
132.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
132.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
132.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
132.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
132.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
132.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
132.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
132.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
132.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
131.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
131.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
131.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
131.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
131.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
130.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
130.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
130.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
130.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
130.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
130.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
130.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
130.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
129.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
128.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
128.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
128.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
128.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
127.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
127.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
127.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
127.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
127.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
127.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
127.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
127.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
127.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
127.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
126.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
126.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
126.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
126.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
126.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
126.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
126.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
126.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
126.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
126.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
126.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
125.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
125.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
125.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
125.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
125.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
125.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
124.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
124.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
124.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
124.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
124.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
124.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
124.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
123.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
123.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
123.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
123.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
123.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
123.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
122.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
122.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
122.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
122.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
122.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
122.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
121.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
121.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
121.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
121.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
121.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
121.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
121.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
121.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
121.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
120.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
120.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
120.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
120.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
120.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
120.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
120.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
120.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
120.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
119.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
119.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
119.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
119.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
119.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
119.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
118.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
118.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
118.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
118.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
118.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
117.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
117.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
117.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
117.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
117.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
117.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
117.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
117.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
116.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
116.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
116.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
116.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
116.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
116.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
116.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
116.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
116.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
116.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
116.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
115.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
115.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
115.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
115.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
115.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
115.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
114.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
114.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
114.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
114.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
114.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
114.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
114.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
114.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
114.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
114.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
113.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
113.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
113.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
113.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
113.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
113.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
112.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
112.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
112.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
112.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
112.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
112.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
111.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
111.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
111.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
111.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
111.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
110.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
110.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
110.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
110.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
110.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
109.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
109.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
108.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
108.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
108.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
108.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
108.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
108.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
108.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
108.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
107.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
107.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
107.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
107.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
107.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
107.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
107.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
106.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
106.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
106.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
105.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
105.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
105.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
105.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
104.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
104.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
104.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
103.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
103.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
103.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
103.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
102.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
102.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
102.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
101.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
101.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
101.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
101.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
101.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
101.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
101.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
101.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
101.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
100.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
100.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
100.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
99.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
99.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
99.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
98.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
98.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
97.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
97.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
97.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
97.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
97.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
96.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
96.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
96.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
95.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
94.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
94.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
94.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
94.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
93.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
92.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
91.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
91.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
90.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
89.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
88.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
88.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
88.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
88.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
87.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
87.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
87.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
86.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
85.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
84.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
83.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
83.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
80.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
78.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
70.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
69.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
69.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.1
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.
TBL1XR1 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
20.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
46.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
45.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
44.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
39.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
37.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
36.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
35.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
34.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
34.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
34.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
32.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
31.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
28.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
28.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
27.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
27.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
26.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
26.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
26.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
26.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
25.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
25.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
25.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
25.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
24.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
24.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
24.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
22.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
22.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
22.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
21.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
21.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
20.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
20.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
20.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
20.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
20.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
19.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
19.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
19.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
19.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
18.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
18.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
18.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
18.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
17.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
17.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
17.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
17.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
16.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
16.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
16.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
16.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
16.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
15.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
15.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
15.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
14.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
13.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
11.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
11.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
11.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
10.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
9.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
8.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
3.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TBL1XR1 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
118.8
Number of samples
207
Samples
Sample
Description
TPM
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
200.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
179.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
179.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
176.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
174.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
173.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
170.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
168.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
168.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
163.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
163.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
163.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
162.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
162.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
160.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
159.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
158.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
156.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
156.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
155.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
154.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
153.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
153.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
153.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
151.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
150.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
149.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
147.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
147.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
147.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
147.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
146.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
146.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
145.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
145.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
143.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
142.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
142.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
142.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
142.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
141.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
140.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
140.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
140.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
139.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
138.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
138.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
137.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
136.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
136.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
135.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
135.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
135.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
135.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
134.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
134.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
133.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
133.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
133.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
132.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
132.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
131.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
131.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
130.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
129.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
129.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
128.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
128.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
128.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
128.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
128.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
128.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
127.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
127.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
127.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
127.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
126.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
126.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
126.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
125.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
125.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
125.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
124.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
124.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
123.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
122.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
122.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
121.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
121.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
121.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
120.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
120.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
120.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
120.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
120.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
120.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
119.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
118.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
118.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
118.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
117.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
116.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
116.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
115.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
115.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
115.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
114.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
114.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
114.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
114.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
113.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
113.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
113.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
113.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
112.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
112.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
112.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
112.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
111.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
111.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
111.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
111.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
111.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
111.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
110.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
110.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
110.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
110.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
110.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
109.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
109.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
108.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
108.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
107.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
107.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
107.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
106.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
106.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
106.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
106.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
106.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
105.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
105.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
105.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
104.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
103.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
103.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
103.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
103.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
102.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
102.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
102.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
102.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
101.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
101.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
101.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
101.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
100.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
99.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
99.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
98.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
98.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
98.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
97.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
97.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
97.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
96.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
95.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
95.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
94.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
93.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
93.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
93.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
93.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
92.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
92.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
92.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
92.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
91.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
90.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
89.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
89.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
89.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
89.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
89.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
87.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
86.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
85.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
85.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
84.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
83.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
83.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
82.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
82.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
81.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
80.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
80.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
79.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
78.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
78.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
77.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
76.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
73.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
72.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
65.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
59.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
44.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
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Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
