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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.
NOTCH3 is potential prognostic, high expression is unfavorable 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
14.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
109.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
63.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
60.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
43.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
43.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
41.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
41.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
39.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
38.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
37.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
35.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
34.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
33.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
33.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
33.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
32.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
31.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
29.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
29.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
28.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
27.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
26.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
25.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
24.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
24.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
24.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
24.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
24.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
24.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
23.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
23.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
23.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
23.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
23.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
23.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
23.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
23.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
23.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
22.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
22.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
22.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
22.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
21.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
21.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
21.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
20.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
20.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
19.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
19.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
19.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
19.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
18.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
18.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
18.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
18.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
18.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
17.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
17.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
17.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
17.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
17.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
17.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
17.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
17.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
16.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
16.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
16.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
16.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
16.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
16.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
15.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
15.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
15.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
15.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
14.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
14.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
14.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
14.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
14.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
13.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
13.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
13.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
13.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
13.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
13.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
13.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
13.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
12.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
12.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
12.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
12.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
11.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
11.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
11.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
11.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
11.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
11.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
10.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
10.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
10.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
10.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
10.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
10.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
10.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
9.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
9.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
9.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
9.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
9.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
9.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
9.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
8.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
8.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
8.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
8.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
8.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
8.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
8.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
8.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
7.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
7.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
7.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
7.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
7.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
7.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
6.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
6.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
6.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
6.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
5.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
5.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
5.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
5.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
4.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
4.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
3.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
3.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
NOTCH3 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
31.2
Number of samples
486
Samples
Sample
Description
TPM
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
185.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
142.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
130.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
127.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
111.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
92.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
89.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
84.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
84.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
82.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
81.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
75.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
74.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
74.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
70.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
69.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
67.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
66.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
65.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
64.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
63.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
61.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
61.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
61.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
60.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
58.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
57.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
55.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
54.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
54.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
52.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
51.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
50.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
50.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
50.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
50.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
49.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
49.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
48.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
47.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
47.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
46.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
46.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
46.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
45.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
45.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
45.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
44.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
44.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
43.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
43.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
42.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
42.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
42.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
42.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
41.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
41.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
41.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
41.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
41.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
41.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
41.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
40.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
40.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
40.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
40.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
40.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
40.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
39.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
39.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
39.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
39.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
38.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
38.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
38.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
38.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
37.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
37.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
36.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
36.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
36.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
36.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
36.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
36.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
35.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
35.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
35.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
35.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
35.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
35.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
35.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
34.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
34.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
34.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
33.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
33.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
33.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
33.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
33.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
33.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
33.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
33.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
33.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
33.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
33.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
33.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
32.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
32.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
32.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
32.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
32.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
32.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
32.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
32.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
32.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
32.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
32.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
32.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
32.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
31.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
31.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
31.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
31.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
31.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
31.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
31.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
31.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
31.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
31.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
31.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
31.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
30.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
30.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
30.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
30.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
30.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
30.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
30.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
30.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
30.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
30.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
29.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
29.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
29.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
29.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
29.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
28.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
28.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
28.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
28.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
28.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
28.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
28.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
27.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
27.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
27.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
27.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
27.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
27.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
27.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
27.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
27.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
27.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
27.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
26.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
26.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
26.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
26.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
26.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
26.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
26.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
26.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
26.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
26.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
26.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
25.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
25.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
25.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
25.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
25.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
25.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
25.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
25.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
25.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
25.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
25.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
25.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
25.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
24.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
24.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
24.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
24.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
24.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
24.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
24.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
24.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
24.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
24.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
24.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
24.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
24.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
24.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
24.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
24.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
24.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
24.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
24.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
24.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
24.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
23.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
23.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
23.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
23.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
23.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
23.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
23.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
22.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
22.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
22.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
22.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
22.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
22.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
22.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
22.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
22.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
22.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
22.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
22.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
22.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
21.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
21.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
21.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
21.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
21.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
21.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
21.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
21.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
21.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
21.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
21.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
21.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
21.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
20.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
20.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
20.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
20.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
20.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
20.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
20.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
20.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
20.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
20.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
20.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
20.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
20.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
20.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
20.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
20.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
20.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
19.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
19.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
19.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
19.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
19.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
19.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
19.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
19.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
19.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
19.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
19.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
19.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
19.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
19.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
19.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
19.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
19.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
19.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
19.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
19.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
18.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
18.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
18.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
18.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
18.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
18.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
18.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
18.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
18.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
17.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
17.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
17.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
17.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
17.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
17.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
17.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
17.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
17.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
17.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
17.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
17.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
16.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
16.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
16.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
16.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
16.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
16.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
16.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
16.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
16.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
16.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
16.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
16.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
15.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
15.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
15.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
15.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
15.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
15.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
15.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
14.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
14.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
14.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
14.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
14.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
14.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
14.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
14.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
14.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
13.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
13.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
13.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
13.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
13.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
13.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
12.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
12.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
12.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
12.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
12.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
12.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
12.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
12.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
12.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
12.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
12.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
12.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
12.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
11.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
11.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
11.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
11.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
11.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
11.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
10.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
10.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
9.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
9.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
9.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
9.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
9.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
9.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
9.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
8.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
8.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
7.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
7.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
7.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
6.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
6.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
5.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
4.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NOTCH3 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
14.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
78.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
43.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
40.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
35.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
32.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
30.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
29.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
28.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
28.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
26.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
25.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
24.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
22.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
22.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
22.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
20.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
20.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
20.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
20.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
20.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
20.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
19.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
19.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
17.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
15.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
14.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
14.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
13.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
13.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
12.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
12.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
12.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
11.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
11.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
10.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
10.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
10.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
10.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
9.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
9.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
9.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
8.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
8.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
8.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
8.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
8.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
7.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
7.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
6.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
4.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
4.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
3.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NOTCH3 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
27.7
Number of samples
207
Samples
Sample
Description
TPM
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
100.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
97.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
95.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
91.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
85.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
83.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
73.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
69.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
58.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
52.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
51.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
50.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
49.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
46.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
46.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
44.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
44.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
43.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
41.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
41.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
40.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
39.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
38.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
38.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
38.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
36.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
36.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
34.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
34.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
33.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
33.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
32.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
32.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
32.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
31.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
30.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
30.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
30.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
30.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
29.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
28.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
27.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
27.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
27.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
27.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
27.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
27.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
26.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
26.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
25.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
25.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
25.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
25.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
25.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
24.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
24.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
24.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
24.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
24.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
24.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
23.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
23.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
23.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
23.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
22.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
22.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
22.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
22.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
22.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
22.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
22.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
21.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
21.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
21.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
21.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
20.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
20.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
19.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
19.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
19.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
19.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
19.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
18.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
18.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
18.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
18.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
18.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
18.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
18.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
17.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
17.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
17.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
17.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
17.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
17.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
17.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
16.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
16.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
16.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
16.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
16.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
16.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
16.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
15.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
15.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
15.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
15.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
15.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
15.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
15.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
15.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
14.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
14.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
14.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
14.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
14.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
14.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
14.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
13.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
13.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
13.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
13.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
13.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
13.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
12.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
12.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
12.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
12.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
12.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
12.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
12.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
12.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
11.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
11.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
11.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
10.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
10.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
10.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
9.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
9.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
9.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
8.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
8.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
8.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
7.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
7.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
7.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
7.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
6.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
6.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
6.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
6.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
6.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
4.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
4.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.8
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
