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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.
PCNP 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
39.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
92.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
82.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
76.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
71.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
69.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
68.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
64.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
64.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
61.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
61.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
61.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
59.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
58.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
58.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
57.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
57.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
57.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
55.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
54.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
54.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
53.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
53.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
52.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
52.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
52.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
52.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
52.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
52.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
51.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
51.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
51.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
50.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
50.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
50.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
50.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
49.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
49.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
49.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
48.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
48.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
48.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
48.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
48.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
47.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
47.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
47.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
47.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
47.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
46.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
46.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
46.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
46.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
46.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
46.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
46.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
46.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
46.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
46.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
45.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
45.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
45.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
45.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
45.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
45.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
44.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
44.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
44.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
44.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
44.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
44.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
43.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
43.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
43.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
42.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
42.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
42.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
42.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
42.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
42.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
42.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
42.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
42.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
41.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
41.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
41.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
41.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
41.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
41.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
41.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
40.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
40.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
40.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
40.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
40.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
40.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
40.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
40.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
39.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
39.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
39.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
39.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
39.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
39.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
39.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
39.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
39.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
38.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
38.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
38.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
38.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
38.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
38.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
38.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
38.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
37.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
37.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
37.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
37.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
37.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
37.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
37.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
36.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
36.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
36.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
36.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
36.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
36.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
36.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
36.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
35.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
35.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
35.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
35.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
35.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
35.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
35.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
35.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
35.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
34.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
34.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
34.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
34.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
34.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
34.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
33.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
33.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
33.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
33.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
33.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
33.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
32.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
32.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
32.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
32.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
32.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
32.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
31.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
31.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
31.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
31.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
31.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
31.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
31.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
30.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
30.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
30.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
30.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
30.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
30.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
30.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
29.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
29.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
29.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
29.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
29.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
29.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
29.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
29.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
29.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
29.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
28.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
28.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
27.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
27.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
27.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
27.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
27.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
27.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
27.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
27.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
26.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
26.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
26.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
25.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
25.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
25.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
25.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
25.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
24.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
24.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
23.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
22.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
22.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
21.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 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.
PCNP 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
27.9
Number of samples
486
Samples
Sample
Description
TPM
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
55.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
53.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
50.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
50.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
48.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
46.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
46.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
46.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
46.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
45.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
44.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
44.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
43.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
43.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
43.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
43.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
42.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
42.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
42.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
42.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
41.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
40.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
40.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
39.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
39.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
39.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
39.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
38.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
38.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
38.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
38.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
38.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
38.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
37.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
37.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
37.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
37.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
37.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
37.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
37.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
37.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
36.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
36.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
36.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
36.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
36.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
36.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
36.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
36.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
35.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
35.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
35.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
35.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
35.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
35.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
35.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
35.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
35.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
34.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
34.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
34.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
34.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
34.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
34.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
34.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
33.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
33.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
33.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
33.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
33.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
33.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
33.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
33.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
32.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
32.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
32.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
32.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
32.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
32.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
32.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
32.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
32.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
32.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
32.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
32.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
32.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
32.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
31.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
31.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
31.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
31.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
31.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
31.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
31.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
31.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
31.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
31.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
31.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
31.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
30.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
30.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
30.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
30.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
30.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
30.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
30.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
30.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
30.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
30.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
30.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
30.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
30.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
29.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
29.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
29.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
29.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
29.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
29.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
29.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
29.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
29.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
29.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
29.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
29.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
29.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
29.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
29.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
29.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
29.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
29.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
29.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
29.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
29.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
29.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
29.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
28.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
28.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
28.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
28.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
28.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
28.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
28.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
28.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
28.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
28.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
28.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
28.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
28.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
28.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
28.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
28.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
28.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
28.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
27.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
27.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
27.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
27.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
27.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
27.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
27.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
27.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
27.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
27.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
27.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
27.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
27.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
27.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
27.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
27.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
27.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
27.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
27.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
26.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
26.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
26.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
26.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
26.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
26.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
26.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
26.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
26.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
26.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
26.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
26.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
26.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
26.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
26.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
26.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
26.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
26.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
26.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
26.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
26.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
26.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
26.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
26.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
26.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
26.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
26.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
26.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
26.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
26.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
25.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
25.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
25.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
25.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
25.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
25.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
25.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
25.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
25.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
25.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
25.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
25.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
25.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
25.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
25.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
25.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
25.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
25.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
25.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
25.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
25.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
25.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
24.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
24.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
24.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
24.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
24.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
24.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
24.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
24.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
24.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
24.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
24.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
24.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
24.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
24.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
24.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
24.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
24.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
24.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
24.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
24.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
24.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
24.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
24.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
23.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
23.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
23.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
23.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
23.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
23.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
23.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
23.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
23.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
23.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
23.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
23.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
23.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
23.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
23.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
23.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
23.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
23.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
23.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
23.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
23.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
23.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
22.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
22.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
22.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
22.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
22.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
22.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
22.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
22.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
22.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
22.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
22.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
22.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
22.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
22.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
22.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
22.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
22.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
22.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
22.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
22.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
22.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
22.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
22.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
22.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
22.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
21.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
21.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
21.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
21.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
21.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
21.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
21.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
21.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
21.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
21.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
21.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
21.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
21.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
21.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
21.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
21.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
21.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
21.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
21.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
20.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
20.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
20.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
20.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
20.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
20.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
20.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
20.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
20.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
20.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
20.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
20.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
20.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
20.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
20.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
19.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
19.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
19.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
19.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
19.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
19.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
19.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
19.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
19.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
19.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
19.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
19.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
19.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
19.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
19.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
19.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
19.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
19.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
19.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
19.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
19.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
18.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
18.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
18.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
18.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
18.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
18.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
18.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
18.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
18.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
18.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
17.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
17.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
17.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
17.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
17.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
17.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
17.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
16.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
16.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
16.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
16.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
16.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
16.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
16.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
16.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
16.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
16.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
16.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
15.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
15.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
15.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
15.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
15.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
15.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
14.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
14.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
14.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
14.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
14.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
14.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
13.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
13.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
13.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
13.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
13.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
13.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
12.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
12.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
11.5
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.
PCNP 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
43.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
89.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
81.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
79.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
73.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
69.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
66.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
61.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
61.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
61.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
60.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
59.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
58.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
57.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
56.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
54.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
53.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
53.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
53.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
52.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
52.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
50.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
50.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
50.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
50.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
50.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
50.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
47.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
46.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
46.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
45.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
44.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
44.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
43.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
42.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
42.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
42.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
42.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
41.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
41.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
40.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
40.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
40.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
40.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
39.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
38.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
38.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
38.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
36.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
36.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
36.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
36.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
35.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
35.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
35.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
35.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
32.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
32.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
31.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
30.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
29.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
29.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
29.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
27.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
27.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
24.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
20.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PCNP 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
30.3
Number of samples
207
Samples
Sample
Description
TPM
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
54.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
53.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
52.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
50.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
50.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
44.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
44.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
42.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
41.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
41.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
40.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
39.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
39.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
39.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
39.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
38.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
38.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
38.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
38.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
37.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
37.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
37.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
36.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
35.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
35.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
35.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
34.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
34.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
34.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
33.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
33.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
33.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
32.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
32.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
32.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
31.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
31.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
30.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
30.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
30.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
30.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
30.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
30.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
30.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
30.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
29.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
29.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
29.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
29.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
29.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
29.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
28.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
28.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
28.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
28.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
28.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
28.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
28.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
27.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
27.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
27.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
27.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
27.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
27.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
27.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
27.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
27.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
26.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
26.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
26.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
26.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
26.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
26.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
26.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
26.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
25.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
25.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
25.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
25.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
25.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
25.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
25.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
25.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
24.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
24.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
24.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
24.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
24.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
24.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
24.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
23.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
23.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
23.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
23.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
23.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
23.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
23.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
23.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
23.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
22.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
22.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
22.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
22.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
22.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
21.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
21.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
21.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
21.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
20.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
20.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
20.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
20.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
20.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
20.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
19.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
19.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
19.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
19.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
19.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
19.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
18.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
17.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
17.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
16.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
16.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
15.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
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Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
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Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
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Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
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Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
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Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
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Tumor
0.1
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Normal
0.0
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Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
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Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
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Normal
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.9
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
