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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.
ANPEP 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
37.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1032.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1017.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
673.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
575.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
531.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
298.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
282.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
254.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
222.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
212.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
209.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
150.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
135.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
120.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
105.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
102.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
82.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
82.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
82.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
78.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
76.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
73.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
73.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
69.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
68.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
68.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
65.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
65.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
62.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
59.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
48.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
48.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
47.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
46.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
44.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
42.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
41.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
38.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
38.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
37.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
36.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
35.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
35.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
33.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
31.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
30.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
29.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
28.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
27.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
26.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
25.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
25.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
23.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
22.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
21.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
21.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
21.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
19.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
18.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
17.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
17.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
16.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
16.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
16.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
16.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
15.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
15.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
15.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
15.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
14.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
14.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
13.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
13.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
13.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
12.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
12.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
12.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
12.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
11.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
11.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
11.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
11.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
11.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
11.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
11.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
11.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
10.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
10.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
10.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
10.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
10.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
9.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
9.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
9.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
9.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
9.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
9.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
8.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
8.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
8.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
8.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
7.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
7.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
7.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
7.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
7.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
7.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
7.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
7.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
7.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
7.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
6.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
6.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
6.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
6.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
6.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
5.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
5.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
5.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
5.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
5.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
5.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
5.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
5.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
5.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
5.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
4.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
4.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
4.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
4.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
4.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
4.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
4.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
4.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
3.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
3.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
3.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
3.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
3.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
3.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
3.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
3.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
2.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ANPEP 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
71.4
Number of samples
486
Samples
Sample
Description
TPM
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
1232.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1153.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
1090.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
971.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
840.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
792.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
780.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
703.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
663.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
654.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
614.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
598.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
553.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
541.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
538.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
420.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
365.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
360.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
345.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
343.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
329.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
308.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
292.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
285.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
252.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
250.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
248.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
237.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
230.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
223.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
222.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
219.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
216.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
215.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
213.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
196.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
193.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
191.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
191.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
189.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
172.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
171.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
171.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
168.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
168.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
164.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
164.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
162.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
159.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
158.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
152.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
150.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
144.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
144.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
143.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
139.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
139.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
138.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
136.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
129.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
129.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
129.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
128.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
128.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
126.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
123.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
122.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
115.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
115.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
115.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
110.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
110.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
109.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
105.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
101.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
100.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
96.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
94.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
93.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
91.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
90.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
90.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
90.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
90.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
88.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
88.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
87.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
85.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
85.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
83.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
83.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
82.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
82.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
81.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
79.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
78.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
77.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
76.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
76.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
76.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
75.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
75.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
72.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
70.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
70.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
69.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
68.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
67.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
66.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
65.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
65.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
65.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
64.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
63.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
63.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
62.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
61.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
60.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
60.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
59.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
59.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
57.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
57.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
55.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
55.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
54.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
51.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
50.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
50.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
50.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
49.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
48.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
48.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
47.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
47.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
46.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
44.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
43.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
42.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
41.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
41.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
40.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
39.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
38.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
38.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
37.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
37.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
36.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
36.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
36.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
36.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
36.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
35.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
33.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
33.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
33.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
32.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
32.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
32.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
32.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
31.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
31.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
31.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
31.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
30.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
30.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
29.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
29.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
29.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
29.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
29.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
29.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
28.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
28.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
28.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
28.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
28.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
28.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
28.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
27.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
27.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
27.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
27.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
27.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
27.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
27.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
26.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
26.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
26.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
26.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
26.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
25.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
25.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
24.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
24.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
24.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
24.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
24.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
24.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
23.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
23.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
23.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
23.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
23.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
22.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
22.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
22.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
22.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
22.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
22.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
22.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
22.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
22.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
21.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
21.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
21.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
21.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
21.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
21.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
20.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
20.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
20.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
20.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
20.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
20.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
20.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
19.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
19.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
19.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
19.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
18.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
18.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
18.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
18.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
18.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
18.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
18.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
18.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
18.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
18.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
18.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
18.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
18.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
18.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
18.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
17.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
17.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
17.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
17.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
17.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
17.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
17.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
17.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
17.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
16.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
16.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
16.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
16.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
16.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
16.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
16.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
16.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
16.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
16.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
16.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
15.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
15.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
15.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
15.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
15.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
15.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
15.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
15.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
15.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
15.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
14.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
14.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
14.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
14.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
14.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
14.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
14.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
14.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
14.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
14.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
14.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
13.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
13.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
13.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
13.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
13.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
13.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
13.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
13.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
13.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
13.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
13.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
12.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
12.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
12.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
12.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
12.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
12.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
12.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
12.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
12.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
12.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
12.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
12.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
11.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
11.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
11.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
11.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
11.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
11.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
11.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
11.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
11.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
11.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
11.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
11.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
11.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
11.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
11.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
11.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
11.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
11.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
11.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
10.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
10.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
10.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
10.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
10.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
10.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
10.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
10.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
10.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
10.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
10.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
10.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
10.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
10.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
10.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
9.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
9.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
9.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
9.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
9.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
9.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
9.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
9.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
9.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
8.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
8.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
8.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
8.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
8.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
8.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
8.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
8.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
8.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
8.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
8.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
8.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
8.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
8.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
8.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
8.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
7.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
7.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
7.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
7.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
7.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
7.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
7.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
7.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
7.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
7.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
7.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
7.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
7.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
7.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
6.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
6.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
6.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
6.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
6.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
6.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
6.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
6.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
6.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
6.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
6.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
6.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
6.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
6.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
6.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
5.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
5.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
5.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
5.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
5.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
5.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
5.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
5.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
5.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
5.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
5.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
4.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
4.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
4.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
4.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
4.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
4.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
4.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
4.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
4.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
4.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
4.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
3.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
3.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
3.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
3.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
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.
ANPEP is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
10.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
99.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
67.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
36.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
29.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
25.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
23.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
21.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
21.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
20.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
19.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
16.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
16.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
14.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
13.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
13.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
12.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
12.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
12.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
12.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
11.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
11.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
11.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
10.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
9.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
9.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
9.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
9.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
8.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
8.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
8.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
7.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
7.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
7.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
6.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
6.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
6.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
6.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
6.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
6.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
6.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
5.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
5.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
5.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
4.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
4.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
4.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
3.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
3.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
3.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
3.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
3.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
3.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ANPEP 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
42.4
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
725.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
566.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
546.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
456.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
434.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
310.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
266.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
264.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
254.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
231.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
204.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
186.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
185.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
159.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
140.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
140.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
124.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
104.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
101.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
95.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
95.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
84.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
80.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
64.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
58.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
58.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
53.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
52.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
46.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
45.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
45.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
44.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
36.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
36.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
34.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
33.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
33.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
32.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
30.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
29.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
28.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
27.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
27.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
26.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
26.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
25.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
25.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
25.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
24.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
23.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
23.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
23.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
23.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
22.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
21.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
21.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
20.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
20.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
19.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
19.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
19.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
19.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
19.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
18.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
17.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
17.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
17.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
17.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
17.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
16.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
16.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
16.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
15.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
15.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
15.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
15.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
15.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
15.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
15.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
15.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
15.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
14.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
14.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
14.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
13.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
13.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
13.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
13.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
13.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
12.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
12.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
12.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
12.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
12.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
12.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
12.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
12.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
12.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
11.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
11.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
11.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
11.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
11.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
11.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
11.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
11.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
11.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
10.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
10.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
10.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
10.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
10.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
10.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
10.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
10.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
10.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
9.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
9.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
9.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
9.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
9.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
9.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
9.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
9.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
9.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
9.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
9.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
9.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
9.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
9.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
8.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
8.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
8.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
8.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
8.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
8.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
8.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
8.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
8.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
8.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
8.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
7.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
7.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
7.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
7.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
7.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
7.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
7.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
6.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
6.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
6.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
6.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
6.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
6.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
6.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
6.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
6.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
6.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
6.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
6.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
5.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
5.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
5.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
5.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
5.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
5.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
5.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
4.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
4.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
4.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
4.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
4.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
4.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
4.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
4.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
4.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
4.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
4.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
4.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
4.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
3.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
3.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
3.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
3.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
3.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
3.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
2.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
2.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
2.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
2.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
2.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
2.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
1.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
1.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
1.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
1.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.9
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.9
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.9
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
0.9
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.8
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.9
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.9
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.9
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.9
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-1.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.3
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
