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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.
CSNK1E 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
58.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
101.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
101.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
99.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
96.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
94.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
90.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
90.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
89.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
88.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
87.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
87.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
87.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
84.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
84.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
84.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
84.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
84.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
84.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
83.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
83.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
83.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
82.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
81.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
81.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
81.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
80.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
80.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
79.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
77.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
76.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
76.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
76.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
75.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
75.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
75.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
75.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
75.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
74.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
74.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
73.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
73.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
73.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
72.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
72.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
72.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
71.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
71.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
71.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
71.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
70.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
70.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
70.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
70.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
70.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
70.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
70.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
69.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
68.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
68.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
68.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
68.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
68.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
68.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
67.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
67.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
67.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
67.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
67.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
67.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
67.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
67.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
66.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
66.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
66.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
66.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
66.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
65.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
65.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
65.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
65.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
65.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
64.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
64.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
64.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
64.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
64.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
63.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
63.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
63.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
63.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
63.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
62.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
62.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
62.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
62.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
62.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
61.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
61.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
61.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
61.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
61.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
61.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
61.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
61.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
61.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
61.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
60.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
60.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
60.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
60.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
60.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
60.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
59.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
59.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
59.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
59.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
59.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
59.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
59.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
58.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
58.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
58.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
58.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
58.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
58.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
58.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
57.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
57.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
57.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
57.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
57.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
57.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
57.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
56.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
56.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
56.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
56.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
56.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
56.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
56.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
55.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
55.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
55.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
55.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
55.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
54.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
54.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
54.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
54.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
54.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
54.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
53.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
53.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
52.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
52.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
52.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
52.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
52.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
52.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
52.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
52.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
51.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
51.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
51.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
51.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
51.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
51.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
51.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
51.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
50.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
50.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
50.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
50.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
50.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
50.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
50.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
50.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
49.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
49.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
49.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
49.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
49.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
49.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
48.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
48.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
47.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
47.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
47.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
47.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
47.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
47.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
47.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
46.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
46.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
46.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
46.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
46.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
46.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
46.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
45.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
45.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
45.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
45.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
44.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
44.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
44.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
44.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
43.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
43.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
42.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
42.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
41.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
41.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
39.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
39.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
39.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
38.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
37.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
37.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
37.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
37.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
36.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
36.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
35.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
35.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
35.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
34.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
34.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
34.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
32.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
31.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
31.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
31.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
28.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
25.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 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.
CSNK1E 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
90.7
Number of samples
486
Samples
Sample
Description
TPM
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
193.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
177.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
169.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
161.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
154.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
148.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
140.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
139.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
137.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
136.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
136.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
135.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
134.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
134.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
134.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
133.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
132.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
132.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
130.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
129.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
129.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
128.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
127.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
127.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
127.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
126.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
125.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
125.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
125.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
125.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
124.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
123.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
123.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
122.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
122.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
122.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
121.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
121.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
120.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
120.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
119.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
119.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
119.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
119.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
119.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
118.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
118.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
118.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
118.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
117.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
117.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
116.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
116.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
116.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
115.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
115.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
115.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
115.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
115.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
114.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
114.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
114.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
113.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
113.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
113.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
113.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
112.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
112.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
111.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
111.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
111.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
111.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
111.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
111.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
111.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
110.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
110.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
110.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
110.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
110.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
110.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
110.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
109.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
109.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
109.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
109.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
109.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
109.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
109.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
108.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
108.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
108.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
108.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
108.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
108.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
108.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
107.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
107.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
106.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
106.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
106.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
106.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
106.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
106.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
106.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
105.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
105.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
105.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
105.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
105.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
105.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
105.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
104.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
104.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
104.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
104.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
103.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
103.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
103.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
103.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
103.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
103.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
103.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
103.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
102.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
102.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
102.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
102.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
102.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
102.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
102.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
102.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
101.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
101.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
101.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
101.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
101.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
101.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
101.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
101.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
100.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
100.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
100.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
100.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
100.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
100.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
99.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
99.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
99.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
99.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
99.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
99.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
99.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
99.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
99.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
99.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
99.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
98.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
98.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
98.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
98.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
98.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
98.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
97.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
97.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
97.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
97.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
97.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
97.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
97.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
97.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
97.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
96.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
96.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
96.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
96.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
96.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
96.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
96.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
96.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
96.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
96.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
96.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
96.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
95.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
95.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
95.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
95.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
95.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
95.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
95.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
95.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
94.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
94.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
94.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
94.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
93.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
93.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
93.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
93.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
93.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
93.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
93.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
93.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
93.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
93.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
92.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
92.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
92.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
92.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
92.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
92.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
92.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
92.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
92.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
92.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
92.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
92.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
91.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
91.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
91.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
91.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
91.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
91.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
91.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
91.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
91.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
90.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
90.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
90.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
90.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
90.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
90.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
90.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
90.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
89.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
89.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
89.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
89.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
89.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
89.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
89.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
89.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
89.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
89.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
88.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
88.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
88.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
88.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
88.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
88.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
88.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
88.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
87.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
87.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
87.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
87.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
87.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
87.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
87.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
87.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
87.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
87.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
86.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
86.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
86.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
86.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
86.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
86.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
85.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
85.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
85.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
85.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
85.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
85.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
85.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
85.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
85.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
85.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
84.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
84.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
84.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
84.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
84.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
84.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
84.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
84.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
84.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
84.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
84.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
84.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
84.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
84.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
84.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
83.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
83.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
83.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
83.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
83.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
83.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
83.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
83.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
83.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
83.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
83.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
83.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
82.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
82.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
82.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
82.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
82.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
82.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
82.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
82.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
82.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
81.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
81.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
81.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
81.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
81.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
81.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
81.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
80.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
80.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
80.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
80.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
80.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
80.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
80.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
80.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
80.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
80.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
80.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
80.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
80.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
79.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
79.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
79.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
79.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
79.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
79.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
79.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
79.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
78.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
78.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
78.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
78.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
77.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
77.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
77.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
77.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
77.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
77.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
77.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
77.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
77.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
77.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
76.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
76.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
76.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
76.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
75.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
75.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
75.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
75.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
75.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
75.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
74.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
74.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
74.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
74.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
74.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
74.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
74.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
74.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
74.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
73.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
73.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
73.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
73.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
73.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
73.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
73.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
72.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
72.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
72.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
72.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
72.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
72.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
72.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
72.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
71.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
71.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
71.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
71.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
71.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
71.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
71.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
71.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
71.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
70.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
70.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
70.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
70.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
70.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
70.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
70.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
70.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
70.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
69.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
69.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
69.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
68.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
68.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
67.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
67.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
67.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
67.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
67.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
66.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
66.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
66.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
66.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
66.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
66.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
66.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
65.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
65.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
65.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
65.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
65.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
64.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
64.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
64.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
64.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
63.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
62.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
62.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
62.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
62.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
62.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
62.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
62.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
61.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
60.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
60.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
60.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
60.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
60.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
59.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
59.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
58.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
57.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
56.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
56.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
53.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
52.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.4
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.
CSNK1E 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
56.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
117.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
99.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
93.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
89.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
86.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
84.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
82.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
82.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
79.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
79.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
79.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
79.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
76.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
75.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
74.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
73.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
72.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
72.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
71.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
70.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
69.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
67.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
66.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
66.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
66.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
66.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
66.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
65.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
64.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
63.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
63.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
63.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
62.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
60.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
60.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
59.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
58.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
58.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
57.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
57.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
56.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
56.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
56.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
55.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
55.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
55.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
55.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
53.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
53.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
50.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
50.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
49.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
49.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
49.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
48.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
46.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
45.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
45.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
44.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
43.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
43.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
41.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
41.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
41.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
40.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
40.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
40.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
40.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
39.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
38.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
36.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
36.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
36.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
36.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
35.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
35.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
34.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
33.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
32.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
32.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
31.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
30.7
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.
CSNK1E 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
94.6
Number of samples
207
Samples
Sample
Description
TPM
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
155.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
147.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
141.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
139.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
136.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
132.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
131.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
130.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
127.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
126.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
125.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
125.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
125.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
125.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
125.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
124.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
124.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
124.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
123.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
123.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
123.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
122.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
122.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
121.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
121.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
121.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
121.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
121.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
120.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
120.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
120.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
120.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
119.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
119.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
117.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
117.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
116.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
116.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
116.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
115.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
115.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
115.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
113.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
113.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
111.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
111.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
110.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
110.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
108.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
108.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
108.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
108.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
108.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
108.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
107.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
107.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
107.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
106.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
105.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
105.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
105.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
105.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
104.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
104.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
102.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
101.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
101.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
101.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
101.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
100.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
99.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
99.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
99.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
99.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
99.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
98.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
98.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
98.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
98.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
98.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
97.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
97.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
97.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
97.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
97.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
97.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
96.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
96.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
95.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
95.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
95.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
95.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
95.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
94.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
94.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
94.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
94.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
94.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
94.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
93.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
93.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
92.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
92.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
92.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
92.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
92.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
92.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
92.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
92.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
91.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
91.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
91.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
91.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
90.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
90.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
90.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
90.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
90.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
90.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
89.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
89.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
89.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
89.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
89.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
88.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
88.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
88.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
88.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
87.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
87.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
86.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
86.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
86.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
86.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
86.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
86.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
85.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
85.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
84.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
84.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
84.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
84.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
84.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
83.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
83.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
83.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
83.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
83.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
83.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
83.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
82.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
82.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
82.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
81.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
81.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
81.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
81.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
80.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
80.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
80.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
80.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
79.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
78.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
78.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
77.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
77.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
77.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
76.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
76.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
76.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
76.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
76.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
76.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
75.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
75.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
75.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
74.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
74.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
73.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
72.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
72.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
71.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
69.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
68.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
68.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
66.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
66.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
65.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
64.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
64.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
64.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
64.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
64.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
62.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
62.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
62.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
62.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
61.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
60.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
59.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
59.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
59.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
58.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
57.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
49.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
41.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
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Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
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Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
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
