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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CFH 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-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
93.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
89.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
65.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
62.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
51.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
49.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
48.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
47.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
46.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
46.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
45.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
38.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
35.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
32.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
32.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
31.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
31.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
31.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
28.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
27.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
27.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
25.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
23.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
22.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
21.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
20.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
20.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
19.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
19.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
19.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
18.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
18.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
18.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
18.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
18.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
17.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
16.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
16.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
16.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
16.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
16.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
15.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
15.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
14.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
14.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
14.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
13.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
13.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
13.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
13.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
13.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
13.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
12.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
12.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
12.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
11.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
11.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
11.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
11.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
11.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
11.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
11.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
10.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
10.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
10.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
10.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
10.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
10.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
10.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
9.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
9.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
9.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
9.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
9.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
9.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
9.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
9.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
9.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
9.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
8.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
8.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
8.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
8.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
8.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
7.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
7.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
7.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
7.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
7.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
7.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
6.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
6.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
6.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
6.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
6.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
6.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
6.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
6.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
6.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
6.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
6.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
5.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
5.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
5.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
5.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
5.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
5.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
5.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
5.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
5.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
5.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
5.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
5.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
5.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
5.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
5.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
5.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
4.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
4.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
4.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
4.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
4.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
4.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
4.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
4.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
4.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
4.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
4.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
3.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
3.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
3.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
3.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
0.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
0.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CFH 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
22.3
Number of samples
486
Samples
Sample
Description
TPM
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
81.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
70.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
67.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
66.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
65.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
65.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
61.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
60.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
57.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
57.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
52.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
52.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
52.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
48.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
47.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
46.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
46.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
46.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
45.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
45.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
43.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
43.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
43.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
43.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
42.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
42.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
42.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
41.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
41.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
41.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
41.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
40.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
40.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
39.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
39.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
38.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
38.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
37.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
37.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
37.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
37.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
36.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
36.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
35.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
35.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
35.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
35.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
34.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
33.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
32.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
32.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
32.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
32.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
32.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
32.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
31.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
31.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
31.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
31.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
31.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
31.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
31.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
31.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
31.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
30.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
30.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
30.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
30.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
30.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
30.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
29.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
29.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
29.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
29.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
29.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
29.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
28.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
28.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
28.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
28.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
28.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
28.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
28.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
28.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
27.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
27.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
27.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
27.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
27.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
27.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
27.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
27.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
27.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
27.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
27.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
27.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
26.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
26.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
26.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
26.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
26.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
26.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
26.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
26.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
26.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
26.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
25.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
25.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
25.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
25.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
25.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
25.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
25.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
24.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
24.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
24.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
24.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
24.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
24.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
24.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
24.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
24.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
24.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
23.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
23.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
23.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
23.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
23.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
23.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
23.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
23.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
23.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
23.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
23.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
23.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
23.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
23.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
23.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
22.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
22.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
22.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
22.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
22.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
22.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
22.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
22.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
22.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
22.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
22.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
22.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
22.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
22.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
22.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
21.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
21.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
21.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
21.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
21.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
21.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
21.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
21.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
21.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
21.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
21.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
21.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
21.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
21.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
21.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
21.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
21.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
20.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
20.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
20.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
20.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
20.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
20.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
20.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
20.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
20.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
20.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
20.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
20.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
20.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
20.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
20.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
19.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
19.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
19.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
19.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
19.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
19.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
19.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
19.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
19.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
19.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
19.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
19.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
19.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
19.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
19.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
19.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
19.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
19.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
18.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
18.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
18.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
18.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
18.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
18.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
18.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
18.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
18.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
18.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
18.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
18.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
18.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
18.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
18.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
18.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
17.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
17.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
17.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
17.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
17.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
17.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
17.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
17.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
17.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
17.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
17.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
17.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
17.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
17.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
17.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
17.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
16.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
16.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
16.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
16.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
16.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
16.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
16.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
16.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
16.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
16.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
16.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
16.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
16.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
16.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
16.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
16.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
16.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
15.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
15.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
15.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
15.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
15.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
15.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
15.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
15.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
15.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
15.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
15.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
15.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
15.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
14.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
14.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
14.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
14.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
14.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
14.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
14.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
14.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
14.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
14.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
14.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
14.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
14.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
14.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
14.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
14.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
14.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
14.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
13.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
13.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
13.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
13.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
13.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
13.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
13.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
13.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
13.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
13.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
13.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
13.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
13.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
13.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
13.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
13.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
13.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
13.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
13.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
13.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
13.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
13.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
13.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
13.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
13.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
12.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
12.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
12.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
12.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
12.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
12.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
12.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
12.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
12.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
12.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
12.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
12.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
12.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
12.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
12.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
12.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
12.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
12.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
12.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
12.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
12.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
11.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
11.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
11.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
11.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
11.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
11.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
11.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
11.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
11.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
11.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
11.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
11.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
11.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
11.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
10.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
10.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
10.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
10.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
10.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
10.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
10.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
10.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
10.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
10.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
10.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
10.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
10.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
10.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
10.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
10.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
10.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
10.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
10.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
10.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
10.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
10.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
9.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
9.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
9.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
9.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
9.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
9.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
9.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
9.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
9.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
9.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
9.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
9.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
9.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
8.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
8.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
8.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
8.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
8.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
8.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
8.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
8.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
8.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
8.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
8.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
8.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
8.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
8.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
8.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
8.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
7.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
7.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
7.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
7.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
7.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
7.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
7.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
7.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
7.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
7.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
6.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
6.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
6.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
6.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
6.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
6.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
6.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
6.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
6.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
6.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
5.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
5.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
5.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
5.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
5.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
5.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
5.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
4.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
4.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
4.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
4.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
4.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
4.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
0.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CFH 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
10.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
43.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
39.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
34.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
33.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
32.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
31.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
24.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
18.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
18.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
18.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
18.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
17.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
16.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
16.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
15.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
15.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
15.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
15.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
14.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
13.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
12.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
10.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
9.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
9.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
9.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
9.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
9.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
8.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
8.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
8.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
8.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
7.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
6.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
6.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
6.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
6.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
6.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
6.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
6.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
5.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
5.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
5.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
4.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
4.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
4.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
4.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
3.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
2.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CFH 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
24.5
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
83.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
81.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
78.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
76.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
76.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
73.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
71.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
69.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
68.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
67.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
67.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
61.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
58.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
58.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
52.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
48.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
43.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
40.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
40.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
40.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
39.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
38.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
38.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
36.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
35.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
35.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
33.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
33.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
32.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
32.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
31.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
30.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
30.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
29.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
29.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
28.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
28.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
28.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
28.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
27.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
27.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
27.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
26.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
26.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
26.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
24.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
24.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
24.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
24.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
24.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
24.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
23.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
23.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
23.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
23.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
23.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
23.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
22.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
22.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
22.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
22.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
22.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
21.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
21.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
21.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
21.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
21.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
20.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
20.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
20.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
20.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
19.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
19.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
19.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
19.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
18.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
18.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
18.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
18.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
18.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
18.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
18.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
17.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
17.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
17.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
17.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
17.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
17.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
17.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
17.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
17.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
17.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
16.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
16.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
16.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
15.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
15.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
15.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
15.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
15.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
15.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
15.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
15.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
15.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
14.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
14.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
14.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
14.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
14.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
14.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
14.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
14.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
14.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
14.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
14.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
13.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
13.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
13.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
13.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
13.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
13.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
13.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
12.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
12.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
12.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
12.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
12.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
12.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
11.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
11.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
11.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
11.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
11.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
11.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
11.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
11.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
10.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
10.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
10.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
10.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
10.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
10.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
10.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
10.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
10.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
9.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
9.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
9.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
9.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
9.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
9.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
9.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
8.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
8.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
8.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
8.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
8.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
8.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
8.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
8.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
8.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
8.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
8.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
7.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
7.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
7.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
7.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
7.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
6.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
6.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
5.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
5.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
5.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
4.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
4.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
3.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
2.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
2.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
1.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
1.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
1.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.9
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.9
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.4
43192517-085e-450e-9481-0a6713_D3
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
