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.
MICAL2 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
10.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
96.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
67.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
54.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
42.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
41.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
36.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
34.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
32.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
32.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
31.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
25.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
25.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
24.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
23.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
23.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
22.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
22.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
21.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
21.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
21.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
21.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
20.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
19.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
19.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
18.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
18.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
18.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
18.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
18.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
17.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
17.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
16.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
16.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
16.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
16.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
16.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
15.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
15.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
15.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
14.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
14.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
14.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
14.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
14.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
14.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
14.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
13.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
13.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
13.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
13.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
13.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
13.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
13.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
13.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
13.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
13.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
13.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
12.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
12.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
12.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
11.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
11.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
11.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
11.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
11.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
11.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
11.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
10.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
10.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
10.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
10.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
10.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
10.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
10.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
10.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
10.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
10.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
10.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
9.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
9.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
9.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
9.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
9.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
9.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
9.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
9.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
9.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
9.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
8.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
8.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
8.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
8.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
8.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
8.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
7.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
7.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
7.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
7.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
7.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
7.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
7.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
7.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
7.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
7.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
7.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
7.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
6.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
6.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
6.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
6.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
6.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
6.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
6.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
6.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
5.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
5.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
5.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
5.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
5.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
4.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
4.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
4.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
4.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
4.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
4.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
4.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
4.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
4.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
4.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
3.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
3.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
3.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
2.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
MICAL2 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
45.0
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
158.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
94.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
94.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
87.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
84.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
82.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
81.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
80.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
79.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
78.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
78.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
78.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
77.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
76.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
76.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
76.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
76.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
76.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
76.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
75.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
74.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
73.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
70.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
70.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
69.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
69.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
69.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
69.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
68.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
68.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
68.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
68.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
67.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
67.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
67.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
67.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
66.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
66.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
66.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
66.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
66.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
65.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
65.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
64.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
64.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
63.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
63.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
62.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
62.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
62.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
61.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
61.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
60.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
60.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
60.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
59.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
59.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
59.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
58.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
58.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
58.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
57.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
57.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
57.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
57.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
57.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
56.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
56.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
56.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
56.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
56.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
56.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
56.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
55.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
55.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
55.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
55.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
55.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
55.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
55.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
55.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
54.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
54.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
54.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
54.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
54.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
54.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
54.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
54.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
54.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
53.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
53.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
53.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
53.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
53.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
52.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
52.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
52.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
52.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
52.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
52.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
52.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
51.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
51.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
51.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
51.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
51.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
51.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
51.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
51.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
50.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
50.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
50.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
50.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
50.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
50.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
50.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
50.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
50.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
49.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
49.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
49.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
49.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
49.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
49.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
49.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
48.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
48.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
48.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
48.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
48.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
47.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
47.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
47.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
47.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
47.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
47.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
47.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
46.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
46.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
46.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
46.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
46.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
46.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
46.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
46.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
45.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
45.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
45.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
44.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
44.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
44.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
44.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
44.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
44.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
44.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
43.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
43.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
43.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
43.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
43.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
43.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
42.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
42.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
42.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
42.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
42.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
42.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
41.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
41.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
41.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
41.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
41.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
40.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
40.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
40.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
40.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
40.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
40.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
40.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
39.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
39.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
39.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
39.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
39.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
39.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
39.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
39.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
39.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
38.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
38.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
38.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
38.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
38.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
38.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
38.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
37.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
37.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
37.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
37.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
37.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
36.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
36.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
36.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
36.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
36.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
35.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
35.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
35.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
35.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
35.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
35.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
35.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
35.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
35.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
35.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
35.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
35.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
35.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
34.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
34.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
34.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
34.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
34.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
34.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
33.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
33.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
33.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
33.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
33.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
33.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
33.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
33.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
33.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
32.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
32.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
32.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
32.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
31.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
31.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
31.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
30.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
30.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
30.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
30.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
30.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
30.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
30.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
30.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
30.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
30.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
30.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
29.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
29.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
29.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
29.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
29.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
29.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
29.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
29.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
28.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
28.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
28.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
27.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
27.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
26.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
26.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
26.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
26.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
25.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
25.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
25.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
25.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
25.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
25.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
24.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
24.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
24.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
23.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
23.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
22.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
20.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
20.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
20.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
19.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
19.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
19.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
19.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
18.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
18.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MICAL2 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
10.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
27.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
26.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
26.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
26.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
25.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
24.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
22.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
21.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
20.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
20.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
20.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
20.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
19.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
18.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
18.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
16.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
16.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
14.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
14.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
13.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
13.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
12.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
12.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
12.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
12.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
12.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
12.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
12.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
10.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
10.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
10.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
9.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
9.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
9.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
9.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
8.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
8.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
8.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
8.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
7.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
7.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
6.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
6.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
6.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
6.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
6.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
5.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
5.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
5.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
4.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
4.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
4.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
3.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
3.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MICAL2 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
43.9
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
97.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
77.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
75.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
75.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
74.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
73.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
71.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
71.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
70.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
69.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
69.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
68.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
68.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
67.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
65.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
64.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
64.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
64.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
63.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
62.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
62.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
61.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
61.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
61.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
60.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
60.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
60.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
59.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
59.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
59.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
58.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
58.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
58.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
57.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
57.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
57.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
57.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
56.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
56.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
56.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
56.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
55.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
55.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
54.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
54.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
54.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
54.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
53.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
53.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
53.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
52.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
51.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
51.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
51.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
51.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
50.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
49.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
49.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
48.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
48.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
48.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
47.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
47.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
47.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
45.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
44.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
44.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
44.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
43.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
42.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
42.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
41.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
39.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
38.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
38.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
37.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
36.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
36.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
35.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
35.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
34.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
34.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
34.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
34.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
33.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
33.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
33.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
33.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
32.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
32.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
32.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
31.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
31.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
31.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
30.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
30.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
28.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
28.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
28.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
27.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
26.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
26.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
26.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
26.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
25.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
24.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
23.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
22.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
20.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
20.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
1.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.9
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.5
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
