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.
MRC2 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
11.3
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
128.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
75.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
66.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
58.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
57.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
54.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
51.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
48.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
39.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
35.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
33.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
33.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
32.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
32.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
31.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
30.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
28.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
27.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
26.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
26.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
25.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
25.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
25.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
24.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
23.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
23.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
22.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
22.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
22.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
21.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
20.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
19.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
19.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
17.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
16.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
16.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
16.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
16.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
16.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
15.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
15.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
15.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
15.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
14.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
14.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
14.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
13.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
13.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
13.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
13.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
13.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
12.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
12.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
12.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
12.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
12.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
12.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
12.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
11.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
11.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
11.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
10.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
10.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
10.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
10.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
10.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
10.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
10.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
9.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
9.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
9.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
9.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
9.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
9.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
9.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
9.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
9.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
9.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
9.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
8.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
8.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
8.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
8.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
8.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
8.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
8.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
7.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
7.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
7.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
7.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
7.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
7.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
6.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
6.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
5.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
5.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
5.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
5.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
5.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
5.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
5.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
5.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
5.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
5.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
5.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
5.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
5.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
4.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
4.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
4.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
4.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
4.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
4.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
4.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
4.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
4.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
4.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
4.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
3.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
3.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
3.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
3.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
3.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
3.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
3.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
0.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
0.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
MRC2 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
20.8
Number of samples
486
Samples
Sample
Description
TPM
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
82.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
78.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
73.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
71.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
69.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
69.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
65.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
61.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
58.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
57.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
57.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
56.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
55.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
53.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
49.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
48.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
46.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
46.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
46.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
45.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
42.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
42.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
42.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
42.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
42.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
40.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
39.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
39.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
39.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
38.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
38.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
38.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
37.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
37.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
37.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
37.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
36.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
36.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
35.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
35.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
35.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
35.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
34.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
33.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
33.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
33.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
33.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
33.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
32.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
32.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
32.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
32.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
32.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
32.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
32.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
31.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
31.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
31.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
30.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
30.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
30.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
29.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
29.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
29.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
29.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
29.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
29.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
28.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
28.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
28.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
28.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
28.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
27.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
27.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
27.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
27.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
27.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
27.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
27.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
27.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
27.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
27.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
27.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
27.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
27.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
26.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
26.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
26.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
26.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
26.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
26.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
26.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
26.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
26.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
26.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
25.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
25.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
25.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
25.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
25.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
25.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
25.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
25.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
25.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
25.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
25.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
25.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
25.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
25.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
25.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
25.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
25.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
24.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
24.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
24.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
24.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
24.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
24.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
24.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
24.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
24.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
24.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
24.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
24.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
24.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
24.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
24.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
24.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
24.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
24.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
24.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
24.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
24.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
23.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
23.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
23.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
23.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
23.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
23.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
23.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
22.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
22.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
22.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
22.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
22.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
22.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
22.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
22.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
22.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
21.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
21.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
21.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
21.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
21.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
21.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
21.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
21.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
21.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
21.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
21.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
21.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
21.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
21.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
20.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
20.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
20.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
20.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
20.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
20.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
20.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
20.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
20.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
20.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
20.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
20.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
20.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
20.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
20.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
19.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
19.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
19.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
19.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
19.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
19.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
19.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
19.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
19.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
19.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
19.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
19.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
19.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
19.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
19.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
19.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
19.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
19.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
19.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
19.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
18.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
18.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
18.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
18.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
18.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
18.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
18.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
18.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
18.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
18.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
18.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
18.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
18.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
18.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
18.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
17.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
17.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
17.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
17.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
17.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
17.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
17.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
17.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
17.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
17.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
17.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
17.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
17.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
17.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
17.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
17.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
17.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
16.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
16.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
16.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
16.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
16.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
16.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
16.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
16.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
16.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
16.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
16.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
16.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
16.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
16.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
16.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
16.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
15.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
15.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
15.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
15.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
15.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
15.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
15.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
15.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
15.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
15.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
15.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
15.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
15.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
15.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
15.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
15.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
15.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
15.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
15.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
15.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
15.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
15.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
15.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
15.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
15.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
15.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
15.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
15.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
14.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
14.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
14.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
14.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
14.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
14.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
14.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
14.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
14.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
14.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
14.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
14.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
14.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
14.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
14.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
14.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
14.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
14.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
14.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
13.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
13.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
13.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
13.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
13.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
13.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
13.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
13.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
13.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
12.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
12.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
12.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
12.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
12.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
12.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
12.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
12.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
12.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
12.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
12.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
12.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
12.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
12.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
12.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
12.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
12.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
12.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
12.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
12.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
12.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
11.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
11.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
11.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
11.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
11.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
11.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
11.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
11.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
11.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
11.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
11.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
11.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
11.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
11.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
11.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
11.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
11.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
11.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
11.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
10.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
10.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
10.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
10.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
10.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
10.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
10.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
10.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
10.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
10.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
10.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
10.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
10.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
10.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
10.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
10.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
10.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
10.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
10.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
10.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
9.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
9.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
9.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
9.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
9.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
9.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
9.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
9.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
9.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
9.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
9.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
9.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
9.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
9.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
9.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
9.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
9.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
9.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
8.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
8.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
8.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
8.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
8.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
8.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
8.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
8.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
8.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
8.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
8.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
8.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
8.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
8.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
8.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
7.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
7.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
7.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
7.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
7.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
7.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
7.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
7.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
7.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
7.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
6.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
6.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
6.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
6.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
6.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
6.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
6.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
6.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
6.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
6.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
6.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
5.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
5.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
5.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
5.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
5.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
5.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
5.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
5.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
5.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
5.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
5.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
5.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
5.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
5.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
5.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
5.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
4.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
4.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
4.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
4.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
4.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
4.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
4.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
4.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
4.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
3.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
3.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
3.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
3.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
2.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1.5
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.
MRC2 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
10.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
67.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
63.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
38.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
37.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
34.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
28.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
28.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
27.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
25.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
23.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
21.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
20.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
19.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
18.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
15.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
15.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
13.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
13.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
11.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
11.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
11.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
11.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
10.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
10.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
10.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
10.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
8.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
8.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
8.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
7.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
7.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
7.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
6.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
6.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
6.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
6.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
5.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
5.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
5.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
5.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
5.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
4.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
4.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
4.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
4.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
4.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
4.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
3.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
3.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
3.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
3.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
3.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
3.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
0.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
0.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 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.
MRC2 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
20.6
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
117.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
86.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
85.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
74.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
72.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
60.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
59.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
58.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
55.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
54.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
51.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
44.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
42.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
42.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
41.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
35.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
35.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
35.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
32.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
32.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
31.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
31.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
31.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
30.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
28.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
27.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
27.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
27.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
26.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
26.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
26.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
26.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
25.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
25.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
25.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
25.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
24.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
24.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
23.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
22.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
22.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
22.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
21.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
21.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
21.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
21.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
21.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
21.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
21.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
20.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
20.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
20.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
20.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
20.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
20.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
19.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
19.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
19.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
19.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
19.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
19.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
19.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
18.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
17.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
17.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
17.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
16.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
16.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
16.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
16.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
16.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
16.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
16.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
16.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
16.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
15.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
15.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
15.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
15.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
15.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
15.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
15.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
15.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
15.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
15.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
15.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
15.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
14.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
14.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
14.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
14.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
14.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
13.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
13.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
13.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
13.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
13.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
12.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
12.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
12.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
12.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
12.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
12.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
12.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
12.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
11.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
11.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
11.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
11.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
11.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
11.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
11.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
10.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
10.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
10.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
10.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
10.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
10.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
10.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
10.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
10.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
10.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
10.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
10.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
10.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
9.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
9.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
9.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
9.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
9.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
9.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
9.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
9.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
9.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
9.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
9.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
9.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
9.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
9.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
8.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
8.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
8.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
8.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
8.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
8.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
8.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
7.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
7.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
7.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
7.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
7.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
7.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
7.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
7.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
7.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
7.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
7.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
6.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
6.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
6.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
6.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
6.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
6.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
6.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
5.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
5.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
5.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
4.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
4.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
4.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
4.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
3.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
3.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
3.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
3.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
3.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
3.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
3.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
2.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
2.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
2.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
2.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.9
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.1
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
