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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.
CPNE3 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
30.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
121.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
94.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
81.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
76.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
74.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
72.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
70.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
67.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
65.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
61.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
61.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
61.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
57.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
57.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
55.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
54.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
54.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
52.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
50.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
49.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
48.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
48.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
47.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
46.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
46.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
46.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
45.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
45.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
44.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
43.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
43.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
43.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
43.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
43.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
42.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
42.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
41.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
41.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
41.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
41.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
41.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
41.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
40.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
40.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
40.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
39.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
39.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
39.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
39.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
38.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
38.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
38.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
38.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
37.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
37.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
37.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
36.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
36.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
36.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
35.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
35.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
35.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
35.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
35.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
35.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
35.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
34.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
34.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
33.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
33.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
33.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
33.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
33.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
33.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
33.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
33.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
33.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
32.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
32.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
32.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
32.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
31.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
31.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
30.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
30.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
30.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
30.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
30.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
30.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
30.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
30.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
30.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
30.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
29.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
29.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
29.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
29.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
28.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
28.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
28.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
28.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
28.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
27.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
27.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
27.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
26.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
26.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
26.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
26.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
26.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
26.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
26.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
25.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
25.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
25.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
25.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
25.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
25.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
25.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
25.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
24.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
24.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
24.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
24.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
24.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
24.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
24.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
23.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
23.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
23.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
22.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
22.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
22.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
22.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
22.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
21.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
21.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
21.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
21.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
21.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
21.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
20.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
20.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
20.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
20.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
20.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
20.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
20.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
20.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
19.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
19.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
19.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
19.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
18.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
18.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
18.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
18.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
18.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
18.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
17.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
17.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
17.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
17.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
17.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
17.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
17.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
17.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
17.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
16.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
16.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
16.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
15.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
15.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
15.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
13.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
12.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
12.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
11.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
10.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
9.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
9.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
9.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
9.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
8.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
7.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
CPNE3 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
47.6
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
113.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
110.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
103.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
102.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
93.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
92.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
92.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
91.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
91.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
85.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
85.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
83.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
83.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
83.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
80.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
80.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
79.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
77.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
77.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
77.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
77.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
76.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
76.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
76.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
75.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
74.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
73.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
72.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
71.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
71.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
71.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
71.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
70.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
70.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
70.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
69.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
67.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
67.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
67.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
67.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
67.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
66.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
66.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
66.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
66.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
65.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
65.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
65.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
64.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
63.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
61.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
61.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
61.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
61.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
61.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
61.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
61.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
61.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
60.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
60.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
60.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
60.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
59.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
59.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
59.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
59.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
58.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
58.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
58.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
58.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
58.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
58.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
58.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
58.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
57.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
57.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
57.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
57.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
56.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
56.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
56.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
56.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
56.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
56.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
56.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
56.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
55.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
55.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
55.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
55.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
55.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
55.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
54.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
54.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
54.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
54.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
54.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
54.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
54.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
53.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
53.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
53.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
53.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
53.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
53.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
52.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
52.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
52.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
52.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
52.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
51.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
51.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
51.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
51.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
51.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
51.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
51.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
51.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
51.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
51.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
51.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
50.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
50.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
50.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
50.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
50.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
50.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
50.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
49.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
49.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
49.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
49.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
49.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
49.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
49.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
48.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
48.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
48.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
48.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
47.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
47.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
47.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
47.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
47.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
47.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
47.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
47.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
47.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
46.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
46.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
46.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
46.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
46.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
45.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
45.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
45.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
45.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
45.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
45.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
45.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
45.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
45.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
45.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
44.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
44.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
44.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
44.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
44.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
44.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
44.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
44.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
44.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
44.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
44.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
44.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
44.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
44.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
43.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
43.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
43.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
43.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
43.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
43.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
43.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
43.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
43.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
43.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
43.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
43.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
42.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
42.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
42.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
42.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
42.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
42.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
42.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
42.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
42.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
42.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
42.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
42.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
42.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
41.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
41.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
41.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
41.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
41.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
41.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
41.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
41.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
41.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
41.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
41.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
40.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
40.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
40.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
40.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
40.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
40.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
40.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
40.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
40.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
39.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
39.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
39.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
39.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
39.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
39.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
39.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
38.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
38.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
38.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
38.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
38.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
38.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
37.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
37.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
37.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
37.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
37.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
37.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
37.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
37.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
37.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
37.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
37.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
36.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
36.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
36.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
36.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
36.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
36.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
36.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
36.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
36.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
35.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
35.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
35.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
35.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
35.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
35.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
34.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
34.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
34.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
34.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
34.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
34.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
33.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
33.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
33.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
33.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
32.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
31.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
31.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
31.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
31.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
31.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
30.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
30.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
30.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
29.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
29.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
29.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
29.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
28.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
28.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
28.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
28.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
28.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
27.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
27.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
26.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
26.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
22.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
22.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
22.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
17.8
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.
CPNE3 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
32.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
120.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
77.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
74.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
73.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
72.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
60.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
58.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
58.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
55.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
46.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
46.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
46.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
46.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
45.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
44.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
44.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
42.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
41.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
41.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
40.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
40.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
40.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
39.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
38.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
38.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
38.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
37.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
37.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
36.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
35.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
35.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
33.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
32.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
32.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
31.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
31.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
31.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
30.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
30.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
30.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
30.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
29.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
28.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
28.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
28.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
28.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
28.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
27.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
27.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
26.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
25.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
24.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
23.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
22.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
21.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
21.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
21.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
21.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
20.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
19.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
19.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
19.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
18.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
17.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
17.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
17.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
17.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
15.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
13.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CPNE3 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
44.0
Number of samples
207
Samples
Sample
Description
TPM
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
169.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
97.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
87.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
80.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
80.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
78.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
76.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
75.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
73.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
71.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
69.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
69.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
68.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
67.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
66.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
66.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
64.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
64.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
62.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
62.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
59.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
59.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
58.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
58.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
57.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
57.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
57.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
56.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
56.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
55.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
55.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
54.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
54.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
54.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
52.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
52.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
52.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
51.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
51.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
51.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
51.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
50.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
50.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
50.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
50.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
49.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
49.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
49.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
48.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
48.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
47.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
47.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
46.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
46.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
45.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
45.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
45.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
45.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
44.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
44.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
43.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
43.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
43.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
42.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
41.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
41.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
41.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
40.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
39.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
38.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
38.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
37.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
37.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
36.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
35.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
34.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
34.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
34.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
33.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
32.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
31.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
31.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
31.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
31.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
30.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
30.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
30.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
30.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
29.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
28.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
28.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
27.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
24.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
23.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
23.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
22.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
21.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
19.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
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Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
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Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
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Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
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Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
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Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
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Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.6
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
