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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.
FH 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
59.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
164.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
151.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
129.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
115.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
114.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
108.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
107.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
102.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
100.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
99.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
97.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
97.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
97.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
95.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
94.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
93.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
92.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
92.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
92.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
88.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
88.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
85.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
85.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
85.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
85.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
84.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
83.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
82.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
82.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
82.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
82.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
80.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
79.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
79.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
78.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
78.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
78.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
77.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
77.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
77.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
76.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
76.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
75.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
75.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
74.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
74.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
73.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
73.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
73.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
72.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
72.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
72.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
71.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
70.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
70.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
70.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
70.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
70.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
69.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
69.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
69.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
69.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
69.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
69.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
69.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
69.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
68.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
68.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
68.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
68.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
67.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
67.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
67.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
67.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
67.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
66.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
66.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
66.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
66.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
66.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
66.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
65.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
65.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
65.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
65.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
65.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
65.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
64.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
64.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
64.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
64.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
64.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
63.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
63.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
63.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
63.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
63.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
62.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
62.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
62.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
62.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
61.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
61.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
61.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
61.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
61.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
60.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
60.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
60.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
60.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
60.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
60.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
59.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
59.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
59.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
58.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
58.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
58.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
58.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
58.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
58.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
57.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
57.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
57.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
57.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
57.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
57.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
57.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
56.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
56.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
56.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
56.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
56.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
55.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
55.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
55.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
55.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
55.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
55.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
55.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
54.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
54.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
54.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
54.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
54.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
53.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
53.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
53.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
53.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
52.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
51.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
51.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
51.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
51.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
51.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
51.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
51.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
50.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
50.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
50.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
50.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
50.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
50.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
50.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
49.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
49.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
48.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
48.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
47.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
46.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
46.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
46.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
45.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
45.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
45.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
45.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
45.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
45.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
45.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
45.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
45.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
44.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
44.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
44.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
44.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
43.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
43.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
43.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
43.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
43.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
42.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
42.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
42.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
42.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
41.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
41.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
40.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
40.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
40.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
40.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
40.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
39.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
39.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
38.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
38.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
38.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
38.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
37.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
37.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
37.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
37.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
37.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
37.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
36.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
36.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
36.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
35.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
33.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
33.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
33.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
32.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
31.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
30.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
30.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
30.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
30.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
30.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
30.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
25.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
FH 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
40.2
Number of samples
486
Samples
Sample
Description
TPM
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
91.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
83.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
82.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
81.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
78.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
74.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
72.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
72.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
71.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
70.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
69.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
67.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
66.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
66.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
65.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
63.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
63.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
62.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
61.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
61.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
61.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
60.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
59.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
59.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
59.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
59.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
58.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
58.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
58.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
58.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
58.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
57.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
57.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
56.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
56.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
56.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
56.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
55.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
55.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
55.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
55.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
55.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
55.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
55.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
54.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
54.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
54.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
54.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
54.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
54.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
54.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
53.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
53.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
53.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
53.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
53.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
53.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
52.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
52.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
52.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
52.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
52.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
52.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
52.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
52.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
52.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
52.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
52.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
52.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
51.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
51.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
51.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
51.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
50.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
50.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
50.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
50.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
50.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
50.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
50.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
49.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
49.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
49.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
49.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
48.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
48.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
48.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
48.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
48.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
47.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
47.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
47.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
47.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
47.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
46.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
46.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
46.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
46.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
46.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
46.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
46.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
46.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
46.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
45.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
45.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
45.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
45.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
44.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
44.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
43.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
43.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
43.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
43.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
43.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
43.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
43.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
43.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
43.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
43.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
42.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
42.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
42.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
42.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
42.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
42.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
42.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
42.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
42.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
41.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
41.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
41.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
41.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
41.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
41.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
41.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
41.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
41.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
40.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
40.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
40.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
40.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
40.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
40.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
40.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
40.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
40.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
40.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
40.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
40.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
39.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
39.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
39.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
39.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
39.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
39.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
39.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
38.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
38.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
38.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
38.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
38.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
38.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
38.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
38.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
38.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
37.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
37.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
37.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
37.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
37.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
37.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
37.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
37.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
36.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
36.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
36.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
36.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
36.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
36.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
36.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
36.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
36.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
36.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
35.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
35.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
35.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
35.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
35.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
35.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
34.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
34.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
34.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
34.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
34.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
34.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
34.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
34.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
34.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
34.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
33.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
33.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
33.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
33.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
33.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
33.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
33.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
33.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
33.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
33.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
33.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
33.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
33.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
33.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
33.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
32.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
32.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
32.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
32.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
32.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
32.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
32.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
32.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
32.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
32.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
31.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
31.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
31.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
31.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
31.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
31.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
30.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
30.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
30.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
30.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
30.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
30.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
30.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
30.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
30.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
29.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
29.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
29.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
29.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
29.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
29.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
29.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
29.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
29.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
29.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
29.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
28.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
28.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
28.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
28.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
28.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
28.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
28.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
28.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
27.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
27.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
27.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
27.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
27.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
27.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
27.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
27.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
27.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
27.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
26.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
26.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
26.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
26.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
25.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
25.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
25.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
25.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
24.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
24.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
24.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
24.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
24.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
24.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
23.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
23.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
23.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
23.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
23.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
22.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
22.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
22.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
22.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
22.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
22.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
22.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
21.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
21.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
20.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
20.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
20.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
19.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
19.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
19.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
19.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
18.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
18.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
17.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
16.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
16.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FH 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
56.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
106.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
104.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
96.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
89.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
88.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
83.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
83.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
83.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
83.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
82.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
82.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
81.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
79.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
78.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
77.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
73.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
72.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
72.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
71.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
70.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
70.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
70.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
69.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
69.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
69.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
68.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
68.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
68.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
67.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
66.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
64.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
63.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
63.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
62.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
61.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
61.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
60.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
60.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
59.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
58.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
57.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
53.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
53.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
53.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
52.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
52.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
52.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
50.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
50.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
50.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
49.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
49.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
49.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
49.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
48.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
48.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
47.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
47.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
46.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
46.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
45.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
45.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
45.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
42.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
40.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
39.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
39.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
39.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
37.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
36.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
35.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
32.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
31.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
30.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
28.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
28.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
28.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
21.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
FH 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
33.4
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
87.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
64.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
55.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
55.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
52.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
52.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
49.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
48.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
47.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
46.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
46.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
45.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
43.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
43.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
43.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
43.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
42.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
42.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
41.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
41.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
41.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
40.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
40.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
40.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
39.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
39.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
39.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
38.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
38.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
38.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
37.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
37.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
37.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
37.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
36.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
36.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
36.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
36.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
36.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
35.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
35.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
35.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
35.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
35.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
35.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
35.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
34.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
34.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
34.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
34.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
33.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
33.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
33.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
33.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
33.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
32.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
32.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
32.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
32.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
32.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
31.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
31.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
31.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
31.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
31.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
31.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
31.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
31.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
30.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
30.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
30.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
30.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
30.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
29.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
29.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
29.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
28.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
28.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
28.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
28.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
28.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
27.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
27.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
27.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
26.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
26.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
26.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
26.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
26.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
26.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
26.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
26.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
25.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
25.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
25.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
25.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
25.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
24.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
23.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
23.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
23.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
23.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
23.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
22.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
22.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
22.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
22.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
22.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
22.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
22.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
22.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
22.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
21.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
21.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
21.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
20.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
20.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
19.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
18.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
18.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
17.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
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Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
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Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_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
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
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Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
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Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
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Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
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Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
