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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.
CACYBP 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
52.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
228.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
175.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
156.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
132.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
127.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
124.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
121.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
115.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
114.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
112.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
101.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
99.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
97.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
95.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
91.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
87.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
87.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
85.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
85.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
83.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
83.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
83.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
81.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
78.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
78.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
78.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
78.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
77.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
77.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
75.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
75.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
74.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
73.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
73.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
73.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
72.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
71.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
71.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
71.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
71.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
70.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
69.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
68.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
68.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
67.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
67.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
67.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
66.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
66.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
65.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
64.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
64.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
64.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
63.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
62.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
61.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
61.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
61.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
61.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
60.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
60.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
60.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
60.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
59.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
59.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
59.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
59.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
59.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
58.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
58.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
58.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
58.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
58.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
58.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
57.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
56.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
56.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
55.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
55.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
55.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
54.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
54.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
54.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
54.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
53.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
53.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
53.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
53.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
53.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
52.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
52.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
52.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
52.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
52.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
52.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
51.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
51.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
51.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
51.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
50.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
50.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
50.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
50.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
50.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
50.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
50.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
49.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
49.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
49.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
49.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
49.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
49.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
48.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
48.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
48.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
48.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
48.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
48.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
48.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
47.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
47.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
47.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
47.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
46.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
46.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
46.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
46.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
45.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
45.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
45.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
45.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
44.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
44.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
44.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
43.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
43.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
43.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
43.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
42.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
42.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
42.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
42.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
42.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
42.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
42.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
41.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
41.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
41.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
41.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
41.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
41.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
41.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
41.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
41.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
41.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
41.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
40.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
40.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
40.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
40.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
40.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
39.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
39.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
39.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
39.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
39.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
39.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
39.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
39.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
38.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
38.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
38.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
38.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
38.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
37.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
37.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
37.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
36.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
36.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
36.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
36.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
36.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
35.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
35.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
34.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
34.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
33.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
33.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
33.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
33.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
32.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
32.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
32.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
32.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
32.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
31.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
31.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
31.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
31.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
31.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
30.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
30.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
30.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
29.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
29.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
28.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
27.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
26.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
25.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
25.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
25.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
24.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
24.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
24.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
24.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
23.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
22.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
22.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CACYBP 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
134.0
Number of samples
486
Samples
Sample
Description
TPM
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
421.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
340.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
335.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
315.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
315.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
305.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
304.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
299.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
298.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
257.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
255.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
254.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
252.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
250.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
247.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
243.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
240.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
238.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
236.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
235.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
235.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
235.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
234.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
233.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
231.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
230.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
227.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
225.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
221.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
220.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
218.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
218.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
217.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
215.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
211.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
211.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
210.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
209.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
208.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
208.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
207.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
206.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
204.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
203.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
202.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
202.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
200.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
199.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
199.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
198.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
197.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
196.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
195.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
195.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
195.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
193.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
193.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
192.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
190.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
189.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
189.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
188.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
188.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
188.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
188.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
188.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
187.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
186.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
186.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
186.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
184.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
184.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
184.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
184.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
183.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
182.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
181.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
181.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
180.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
179.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
179.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
179.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
177.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
177.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
177.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
177.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
176.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
175.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
175.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
175.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
175.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
175.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
173.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
173.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
172.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
172.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
171.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
171.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
170.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
170.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
170.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
170.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
170.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
170.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
168.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
168.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
167.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
167.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
167.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
166.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
165.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
165.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
164.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
164.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
163.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
163.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
162.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
162.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
162.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
162.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
161.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
161.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
161.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
160.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
160.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
160.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
160.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
159.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
159.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
158.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
158.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
158.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
157.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
157.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
157.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
157.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
157.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
157.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
156.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
156.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
155.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
155.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
154.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
154.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
154.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
153.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
153.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
152.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
152.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
152.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
152.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
151.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
151.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
150.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
150.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
150.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
150.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
150.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
150.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
149.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
149.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
148.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
148.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
148.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
148.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
147.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
147.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
147.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
146.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
146.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
146.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
145.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
145.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
145.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
144.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
144.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
144.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
144.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
143.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
143.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
143.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
143.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
142.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
142.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
142.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
142.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
140.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
140.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
140.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
139.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
138.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
138.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
137.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
137.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
137.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
137.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
136.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
136.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
136.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
135.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
135.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
134.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
134.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
134.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
134.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
133.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
133.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
133.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
133.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
133.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
133.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
132.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
132.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
132.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
131.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
131.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
130.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
130.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
130.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
130.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
130.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
130.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
129.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
129.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
128.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
128.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
128.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
127.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
127.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
127.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
126.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
126.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
125.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
125.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
125.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
124.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
123.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
123.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
123.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
123.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
123.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
122.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
122.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
122.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
122.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
121.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
121.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
121.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
121.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
121.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
121.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
121.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
120.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
120.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
120.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
120.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
119.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
119.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
119.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
119.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
119.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
119.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
119.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
119.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
119.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
118.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
118.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
118.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
118.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
118.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
117.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
117.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
117.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
117.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
116.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
116.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
116.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
116.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
116.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
116.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
116.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
116.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
115.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
115.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
115.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
115.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
114.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
114.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
114.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
114.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
114.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
114.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
113.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
113.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
113.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
113.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
113.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
112.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
112.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
112.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
111.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
111.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
111.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
111.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
111.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
111.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
111.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
111.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
110.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
110.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
109.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
109.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
109.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
109.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
109.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
109.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
108.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
108.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
108.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
108.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
108.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
108.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
108.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
107.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
107.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
106.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
106.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
106.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
106.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
106.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
106.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
106.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
106.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
105.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
105.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
105.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
105.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
104.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
104.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
104.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
104.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
104.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
104.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
103.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
103.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
103.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
103.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
103.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
102.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
101.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
101.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
101.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
101.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
101.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
100.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
100.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
100.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
99.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
99.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
99.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
99.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
99.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
98.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
97.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
97.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
97.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
96.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
96.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
96.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
96.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
95.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
95.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
95.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
95.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
95.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
94.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
94.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
94.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
94.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
93.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
93.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
93.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
93.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
93.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
93.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
93.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
92.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
92.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
92.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
92.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
91.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
91.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
91.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
91.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
91.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
90.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
90.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
90.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
90.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
89.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
89.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
89.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
89.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
89.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
89.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
88.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
88.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
88.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
88.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
88.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
88.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
88.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
87.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
87.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
87.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
87.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
87.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
87.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
86.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
85.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
84.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
84.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
84.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
83.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
83.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
83.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
83.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
83.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
82.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
82.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
81.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
80.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
79.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
79.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
79.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
78.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
78.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
77.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
77.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
77.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
76.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
76.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
75.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
75.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
75.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
75.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
74.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
74.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
74.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
73.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
73.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
72.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
72.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
71.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
71.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
70.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
70.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
70.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
69.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
69.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
69.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
69.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
67.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
66.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
66.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
63.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
63.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
62.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
61.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
60.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
60.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
58.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
58.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
58.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
56.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
55.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
53.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
53.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
41.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.5
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.
CACYBP 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
56.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
112.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
105.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
103.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
95.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
92.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
90.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
88.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
87.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
87.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
87.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
83.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
82.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
78.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
76.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
76.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
75.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
75.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
73.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
73.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
71.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
71.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
71.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
71.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
69.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
69.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
68.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
68.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
66.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
64.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
64.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
64.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
63.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
63.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
63.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
62.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
57.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
57.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
57.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
57.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
56.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
56.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
56.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
56.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
55.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
55.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
53.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
52.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
52.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
52.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
51.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
50.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
49.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
48.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
48.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
46.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
46.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
43.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
42.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
40.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
39.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
38.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
38.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
37.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
36.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
35.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
35.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
34.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
34.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
32.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
28.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
27.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
27.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
26.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
24.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
20.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CACYBP 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
122.7
Number of samples
207
Samples
Sample
Description
TPM
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
332.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
292.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
262.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
262.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
242.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
233.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
231.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
223.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
222.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
208.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
204.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
203.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
199.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
198.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
197.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
191.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
187.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
182.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
182.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
182.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
178.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
175.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
171.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
171.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
169.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
169.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
169.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
168.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
167.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
167.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
165.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
164.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
163.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
163.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
162.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
160.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
160.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
160.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
160.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
158.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
158.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
158.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
158.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
157.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
157.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
155.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
154.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
154.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
153.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
152.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
150.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
150.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
148.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
148.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
147.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
147.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
145.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
144.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
144.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
143.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
143.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
143.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
142.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
142.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
142.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
142.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
141.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
140.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
140.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
140.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
140.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
138.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
138.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
137.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
137.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
137.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
137.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
136.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
136.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
134.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
133.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
132.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
132.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
131.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
130.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
130.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
130.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
130.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
129.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
127.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
127.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
127.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
127.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
126.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
125.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
123.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
123.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
121.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
120.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
119.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
117.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
117.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
117.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
117.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
116.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
116.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
116.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
116.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
116.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
115.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
114.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
113.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
113.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
113.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
113.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
113.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
113.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
112.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
112.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
112.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
112.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
110.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
110.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
110.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
109.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
108.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
107.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
107.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
107.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
106.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
105.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
105.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
105.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
105.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
104.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
104.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
104.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
104.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
104.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
103.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
99.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
99.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
99.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
99.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
99.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
97.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
97.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
95.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
92.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
92.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
91.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
91.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
90.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
89.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
89.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
88.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
87.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
86.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
84.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
83.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
80.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
80.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
79.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
79.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
79.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
78.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
77.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
76.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
75.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
75.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
74.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
72.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
71.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
70.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
70.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
68.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
68.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
67.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
66.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
66.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
65.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
65.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
64.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
64.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
63.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
62.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
61.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
60.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
59.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
59.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
58.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
57.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
55.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
55.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
53.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
51.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
51.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
51.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
50.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
36.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
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
