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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.
NOTCH2 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
9.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
45.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
27.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
26.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
24.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
22.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
22.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
22.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
22.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
22.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
20.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
18.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
18.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
18.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
17.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
17.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
16.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
16.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
15.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
15.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
15.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
15.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
15.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
15.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
14.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
14.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
14.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
14.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
14.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
14.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
14.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
14.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
14.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
14.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
14.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
14.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
14.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
13.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
13.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
13.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
12.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
12.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
12.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
12.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
12.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
12.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
11.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
11.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
11.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
11.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
11.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
11.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
11.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
11.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
11.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
11.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
11.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
10.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
10.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
10.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
10.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
10.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
10.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
10.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
10.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
10.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
10.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
10.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
10.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
10.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
10.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
9.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
9.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
9.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
9.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
9.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
9.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
9.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
9.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
9.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
8.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
8.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
8.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
8.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
8.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
8.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
8.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
8.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
8.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
8.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
8.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
8.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
8.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
8.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
8.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
7.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
7.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
7.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
7.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
7.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
7.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
7.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
7.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
7.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
7.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
6.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
6.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
6.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
6.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
6.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
6.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
6.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
6.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
6.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
6.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
6.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
6.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
6.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
5.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
5.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
5.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
5.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
5.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
5.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
5.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
4.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
4.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
4.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
4.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
4.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
4.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
4.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
3.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
NOTCH2 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
31.1
Number of samples
486
Samples
Sample
Description
TPM
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
81.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
73.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
73.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
66.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
66.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
64.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
63.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
61.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
60.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
59.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
57.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
56.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
55.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
55.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
54.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
54.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
53.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
53.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
52.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
51.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
50.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
50.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
48.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
48.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
47.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
47.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
47.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
47.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
45.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
44.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
44.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
44.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
44.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
44.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
43.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
43.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
43.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
43.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
43.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
42.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
42.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
42.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
42.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
41.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
41.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
40.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
40.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
40.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
40.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
39.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
39.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
39.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
39.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
39.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
39.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
39.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
38.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
38.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
38.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
37.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
37.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
37.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
37.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
37.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
37.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
36.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
36.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
36.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
36.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
36.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
36.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
36.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
35.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
35.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
35.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
35.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
35.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
35.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
35.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
35.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
35.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
35.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
35.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
34.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
34.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
34.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
34.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
34.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
34.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
34.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
34.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
33.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
33.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
33.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
33.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
33.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
33.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
33.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
33.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
33.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
33.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
32.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
32.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
32.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
32.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
32.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
32.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
32.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
32.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
32.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
32.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
32.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
32.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
32.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
32.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
32.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
32.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
32.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
32.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
32.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
32.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
31.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
31.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
31.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
31.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
31.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
31.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
31.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
31.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
31.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
31.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
31.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
31.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
31.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
31.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
31.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
31.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
31.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
31.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
31.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
31.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
31.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
30.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
30.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
30.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
30.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
30.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
30.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
30.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
30.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
30.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
30.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
30.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
30.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
30.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
30.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
29.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
29.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
29.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
29.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
29.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
29.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
29.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
29.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
29.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
29.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
29.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
29.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
29.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
29.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
29.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
29.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
28.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
28.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
28.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
28.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
28.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
28.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
28.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
28.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
28.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
28.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
28.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
28.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
28.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
28.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
27.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
27.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
27.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
27.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
27.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
27.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
27.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
27.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
27.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
27.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
27.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
27.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
27.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
27.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
27.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
27.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
27.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
27.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
27.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
26.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
26.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
26.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
26.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
26.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
26.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
26.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
26.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
26.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
26.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
25.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
25.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
25.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
25.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
25.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
25.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
25.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
25.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
25.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
25.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
25.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
25.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
25.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
25.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
25.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
25.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
25.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
25.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
25.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
25.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
25.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
25.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
25.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
25.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
25.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
25.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
24.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
24.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
24.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
24.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
24.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
24.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
24.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
24.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
24.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
24.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
24.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
24.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
24.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
24.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
24.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
24.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
24.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
24.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
24.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
24.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
24.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
23.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
23.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
23.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
23.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
23.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
23.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
23.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
23.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
23.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
23.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
22.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
22.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
22.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
22.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
22.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
22.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
22.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
22.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
22.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
22.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
22.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
21.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
21.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
21.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
21.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
21.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
21.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
21.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
21.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
21.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
21.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
21.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
21.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
21.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
21.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
21.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
21.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
21.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
21.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
20.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
20.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
20.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
20.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
20.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
20.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
20.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
20.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
20.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
20.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
20.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
20.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
20.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
20.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
20.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
19.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
19.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
19.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
19.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
19.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
19.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
19.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
19.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
19.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
19.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
19.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
19.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
19.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
19.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
18.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
18.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
18.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
18.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
18.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
18.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
18.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
18.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
17.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
17.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
17.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
17.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
17.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
17.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
17.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
17.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
16.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
16.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
16.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
16.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
16.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
16.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
16.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
16.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
15.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
14.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
14.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
14.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
14.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
14.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
13.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
11.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
10.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
5.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
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.
NOTCH2 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
8.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
25.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
20.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
16.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
15.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
15.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
13.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
13.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
13.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
13.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
12.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
12.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
12.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
11.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
11.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
10.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
10.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
9.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
9.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
9.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
9.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
9.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
9.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
8.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
8.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
8.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
8.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
8.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
8.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
8.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
8.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
8.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
8.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
7.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
7.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
7.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
7.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
7.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
7.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
6.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
6.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
6.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
5.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
5.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
5.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
5.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
5.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
5.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
5.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
4.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.9
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.
NOTCH2 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
27.4
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
75.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
51.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
50.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
49.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
46.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
45.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
44.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
43.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
43.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
42.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
42.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
41.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
41.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
40.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
38.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
37.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
35.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
35.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
35.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
33.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
32.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
31.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
31.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
31.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
31.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
31.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
31.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
31.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
31.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
30.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
30.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
30.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
29.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
29.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
29.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
28.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
28.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
28.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
28.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
28.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
27.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
27.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
27.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
26.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
26.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
26.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
26.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
26.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
26.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
26.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
26.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
26.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
26.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
25.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
25.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
25.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
25.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
25.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
25.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
25.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
25.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
24.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
24.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
24.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
24.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
24.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
24.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
24.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
24.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
24.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
24.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
23.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
23.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
23.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
23.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
23.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
23.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
23.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
23.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
23.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
23.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
23.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
22.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
22.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
22.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
22.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
22.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
22.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
22.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
22.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
22.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
22.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
22.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
21.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
21.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
21.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
21.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
21.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
21.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
21.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
21.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
21.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
21.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
20.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
20.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
20.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
20.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
20.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
20.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
20.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
20.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
20.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
20.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
19.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
19.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
19.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
19.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
19.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
19.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
19.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
19.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
19.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
19.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
19.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
18.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
18.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
18.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
18.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
18.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
18.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
18.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
18.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
17.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
17.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
17.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
17.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
17.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
17.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
16.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
16.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
16.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
16.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
16.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
16.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
15.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
14.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
14.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
14.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
13.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
13.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
12.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
10.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.8
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-2.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-3.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-5.9
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
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
