We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
SCARB2 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
28.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
77.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
67.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
66.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
65.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
62.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
55.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
54.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
53.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
51.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
51.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
51.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
51.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
51.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
50.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
50.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
49.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
49.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
49.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
48.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
48.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
47.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
47.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
47.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
47.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
46.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
45.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
45.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
45.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
45.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
44.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
44.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
44.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
44.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
43.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
42.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
42.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
42.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
41.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
41.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
40.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
40.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
40.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
39.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
39.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
38.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
38.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
38.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
38.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
37.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
37.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
37.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
37.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
36.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
36.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
36.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
35.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
35.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
35.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
35.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
34.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
34.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
34.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
33.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
33.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
33.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
32.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
32.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
31.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
31.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
31.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
31.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
31.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
31.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
31.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
31.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
31.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
31.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
30.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
30.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
29.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
29.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
29.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
29.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
29.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
29.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
29.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
28.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
28.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
28.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
28.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
28.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
28.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
28.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
28.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
28.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
27.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
27.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
27.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
27.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
27.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
27.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
27.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
26.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
26.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
26.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
26.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
26.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
25.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
25.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
25.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
25.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
25.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
25.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
25.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
25.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
24.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
24.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
24.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
24.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
24.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
23.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
23.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
23.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
23.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
23.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
23.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
22.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
22.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
22.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
22.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
22.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
21.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
21.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
21.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
21.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
21.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
20.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
20.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
20.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
20.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
20.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
20.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
20.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
20.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
20.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
20.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
19.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
19.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
19.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
19.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
19.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
18.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
18.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
18.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
18.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
17.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
17.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
17.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
17.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
17.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
17.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
16.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
16.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
16.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
16.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
16.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
15.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
15.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
15.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
14.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
14.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
14.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
14.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
14.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
14.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
14.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
14.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
13.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
13.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
13.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
13.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
13.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
12.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
12.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
11.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
11.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
10.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
7.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
6.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
SCARB2 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
76.6
Number of samples
486
Samples
Sample
Description
TPM
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
176.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
163.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
162.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
161.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
154.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
149.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
149.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
147.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
146.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
144.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
144.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
143.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
137.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
132.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
132.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
131.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
128.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
128.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
126.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
126.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
123.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
123.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
122.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
122.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
122.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
121.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
121.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
120.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
120.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
118.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
118.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
117.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
117.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
117.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
116.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
115.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
115.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
114.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
114.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
114.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
113.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
113.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
112.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
112.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
112.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
111.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
110.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
110.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
109.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
109.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
109.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
109.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
108.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
107.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
107.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
106.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
105.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
105.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
104.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
104.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
104.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
104.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
103.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
103.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
103.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
102.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
102.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
101.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
101.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
101.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
101.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
101.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
101.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
101.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
101.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
100.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
100.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
100.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
100.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
100.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
99.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
99.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
99.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
99.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
99.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
98.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
98.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
98.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
98.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
98.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
98.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
98.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
98.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
97.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
97.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
96.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
96.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
96.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
96.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
96.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
96.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
96.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
95.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
95.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
95.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
95.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
95.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
95.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
95.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
95.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
94.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
93.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
93.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
92.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
92.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
92.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
92.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
92.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
91.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
91.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
91.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
91.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
91.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
91.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
90.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
90.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
90.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
90.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
90.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
89.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
89.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
89.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
89.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
89.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
88.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
88.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
88.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
88.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
88.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
88.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
88.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
87.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
87.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
87.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
87.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
87.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
87.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
87.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
87.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
86.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
86.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
86.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
85.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
85.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
85.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
84.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
84.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
84.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
84.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
84.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
84.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
84.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
83.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
83.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
83.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
83.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
83.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
83.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
83.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
83.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
83.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
83.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
82.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
82.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
82.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
82.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
82.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
82.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
82.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
82.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
82.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
82.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
82.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
82.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
81.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
81.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
81.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
81.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
81.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
81.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
80.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
80.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
80.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
80.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
80.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
80.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
79.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
79.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
79.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
79.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
79.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
78.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
78.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
78.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
78.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
78.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
78.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
78.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
77.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
77.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
77.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
77.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
77.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
77.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
77.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
77.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
77.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
77.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
76.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
76.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
76.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
76.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
76.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
76.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
76.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
76.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
76.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
75.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
75.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
75.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
75.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
75.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
75.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
75.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
75.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
75.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
74.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
74.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
74.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
74.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
74.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
74.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
74.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
74.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
74.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
74.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
74.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
74.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
74.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
74.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
73.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
73.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
73.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
73.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
73.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
73.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
73.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
73.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
73.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
72.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
72.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
72.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
72.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
72.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
72.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
72.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
72.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
72.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
72.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
71.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
71.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
71.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
71.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
71.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
70.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
70.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
70.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
70.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
70.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
69.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
69.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
69.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
69.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
69.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
69.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
69.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
69.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
68.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
68.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
68.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
68.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
68.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
68.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
68.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
67.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
67.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
67.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
67.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
67.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
67.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
67.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
67.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
67.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
67.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
66.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
66.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
66.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
66.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
66.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
66.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
66.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
66.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
65.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
65.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
65.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
65.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
65.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
65.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
65.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
65.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
64.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
64.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
64.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
64.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
64.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
63.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
63.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
63.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
63.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
63.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
62.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
62.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
62.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
62.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
61.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
61.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
60.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
60.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
60.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
60.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
59.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
59.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
59.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
59.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
59.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
58.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
58.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
58.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
58.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
58.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
57.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
57.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
57.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
57.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
57.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
57.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
57.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
57.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
57.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
57.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
56.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
56.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
55.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
55.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
55.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
55.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
55.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
55.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
55.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
55.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
55.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
54.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
54.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
54.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
54.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
54.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
53.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
53.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
53.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
53.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
53.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
53.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
53.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
53.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
53.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
50.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
50.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
49.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
49.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
49.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
49.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
49.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
49.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
49.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
49.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
48.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
48.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
48.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
48.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
46.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
46.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
46.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
46.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
45.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
45.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
45.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
45.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
44.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
43.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
42.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
42.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
42.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
42.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
41.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
40.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
36.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
36.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
34.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
33.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
30.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
29.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
26.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
21.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.7
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.
SCARB2 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
26.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
68.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
61.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
54.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
51.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
51.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
49.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
49.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
48.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
45.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
45.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
44.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
43.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
41.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
36.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
36.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
35.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
35.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
34.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
33.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
32.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
31.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
31.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
30.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
30.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
30.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
30.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
29.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
28.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
27.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
27.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
26.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
25.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
25.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
25.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
24.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
24.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
24.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
24.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
24.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
23.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
23.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
22.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
22.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
22.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
21.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
21.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
20.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
20.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
19.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
19.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
19.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
18.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
18.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
18.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
17.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
16.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
16.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
13.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
13.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
12.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
12.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
11.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
6.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
SCARB2 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
63.2
Number of samples
207
Samples
Sample
Description
TPM
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
138.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
131.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
128.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
122.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
121.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
121.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
116.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
115.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
115.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
113.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
111.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
108.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
107.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
107.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
104.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
102.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
100.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
99.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
99.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
99.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
98.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
97.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
97.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
96.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
96.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
95.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
92.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
91.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
91.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
90.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
90.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
89.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
88.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
87.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
87.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
86.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
85.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
84.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
84.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
83.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
81.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
80.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
80.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
79.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
78.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
78.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
78.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
77.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
77.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
76.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
76.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
76.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
75.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
75.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
75.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
75.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
75.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
74.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
74.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
74.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
74.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
74.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
73.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
73.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
72.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
72.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
72.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
71.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
71.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
70.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
70.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
69.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
69.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
68.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
67.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
66.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
66.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
66.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
66.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
65.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
65.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
65.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
65.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
64.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
64.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
64.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
63.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
63.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
63.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
63.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
63.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
62.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
62.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
62.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
61.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
61.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
60.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
60.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
59.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
59.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
59.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
59.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
57.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
56.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
56.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
56.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
56.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
56.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
55.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
55.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
55.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
54.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
53.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
53.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
52.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
52.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
52.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
51.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
51.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
51.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
50.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
50.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
49.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
49.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
49.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
46.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
45.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
44.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
43.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
39.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
38.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
37.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
36.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
35.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
35.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
34.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
33.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
32.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
30.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
30.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
27.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
20.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
