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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.
HADHB 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
66.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
138.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
124.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
114.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
110.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
109.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
108.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
107.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
105.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
104.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
102.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
102.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
101.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
101.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
100.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
99.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
98.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
98.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
92.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
92.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
91.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
91.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
91.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
90.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
90.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
90.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
89.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
89.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
89.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
89.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
88.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
88.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
87.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
86.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
85.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
85.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
85.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
84.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
83.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
83.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
83.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
83.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
81.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
81.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
81.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
81.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
81.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
81.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
80.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
80.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
80.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
79.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
79.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
78.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
77.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
77.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
77.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
77.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
77.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
77.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
76.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
76.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
76.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
76.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
76.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
76.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
76.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
76.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
75.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
75.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
75.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
75.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
75.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
74.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
73.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
73.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
73.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
73.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
73.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
72.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
72.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
72.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
72.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
72.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
72.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
71.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
71.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
71.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
70.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
70.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
70.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
70.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
70.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
70.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
69.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
69.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
69.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
69.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
69.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
69.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
68.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
68.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
68.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
68.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
68.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
68.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
67.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
67.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
66.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
66.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
66.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
66.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
65.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
65.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
65.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
64.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
64.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
64.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
64.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
64.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
64.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
64.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
64.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
64.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
64.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
64.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
64.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
64.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
63.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
63.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
63.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
63.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
63.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
63.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
62.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
62.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
62.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
62.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
62.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
62.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
61.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
61.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
61.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
61.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
60.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
60.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
60.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
60.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
60.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
59.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
59.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
59.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
59.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
59.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
58.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
58.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
58.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
58.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
58.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
58.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
57.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
57.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
57.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
57.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
57.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
57.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
57.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
56.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
56.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
56.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
55.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
55.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
55.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
55.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
55.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
55.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
54.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
54.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
54.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
54.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
54.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
54.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
54.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
54.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
53.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
53.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
53.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
52.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
52.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
51.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
51.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
51.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
51.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
51.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
51.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
51.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
51.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
50.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
50.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
50.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
50.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
50.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
50.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
50.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
50.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
50.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
49.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
49.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
49.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
49.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
49.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
49.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
48.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
48.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
48.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
48.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
48.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
48.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
47.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
47.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
47.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
46.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
46.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
46.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
45.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
45.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
44.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
44.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
44.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
43.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
42.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
42.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
40.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
40.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
40.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
39.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
38.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
36.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
36.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
27.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 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.
HADHB 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
62.0
Number of samples
486
Samples
Sample
Description
TPM
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
112.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
107.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
107.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
106.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
103.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
101.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
99.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
99.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
99.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
99.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
98.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
94.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
94.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
93.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
92.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
92.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
92.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
91.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
90.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
90.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
90.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
89.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
88.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
87.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
86.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
86.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
86.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
84.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
84.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
84.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
84.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
84.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
83.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
83.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
83.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
83.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
82.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
82.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
81.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
81.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
81.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
81.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
81.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
80.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
80.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
80.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
80.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
79.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
79.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
79.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
79.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
79.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
79.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
79.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
79.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
78.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
78.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
78.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
78.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
78.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
78.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
78.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
77.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
77.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
77.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
77.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
77.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
77.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
77.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
76.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
76.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
76.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
76.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
76.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
76.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
75.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
75.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
75.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
75.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
75.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
75.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
75.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
75.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
75.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
75.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
74.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
74.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
74.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
74.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
74.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
74.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
74.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
73.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
73.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
73.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
73.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
73.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
73.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
73.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
73.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
73.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
73.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
73.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
72.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
72.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
72.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
72.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
72.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
72.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
72.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
72.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
71.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
71.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
71.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
71.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
71.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
71.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
71.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
71.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
70.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
70.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
70.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
70.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
70.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
70.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
70.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
70.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
70.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
70.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
70.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
69.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
69.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
69.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
69.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
69.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
69.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
69.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
69.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
69.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
69.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
69.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
69.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
69.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
69.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
69.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
69.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
68.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
68.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
68.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
68.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
68.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
68.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
68.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
67.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
67.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
67.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
67.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
67.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
67.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
67.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
67.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
66.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
66.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
66.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
66.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
66.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
66.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
66.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
66.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
66.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
66.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
65.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
65.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
65.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
65.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
65.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
65.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
65.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
64.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
64.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
64.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
64.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
64.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
64.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
64.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
64.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
64.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
64.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
64.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
64.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
63.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
63.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
63.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
63.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
63.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
63.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
63.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
63.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
63.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
63.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
63.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
63.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
62.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
62.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
62.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
62.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
62.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
62.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
62.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
62.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
62.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
62.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
62.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
61.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
61.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
61.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
61.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
61.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
61.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
61.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
61.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
61.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
61.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
60.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
60.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
60.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
60.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
60.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
60.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
60.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
60.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
60.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
60.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
60.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
60.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
59.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
59.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
59.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
59.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
59.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
59.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
59.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
59.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
59.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
58.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
58.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
58.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
58.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
58.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
58.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
58.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
58.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
58.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
57.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
57.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
57.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
57.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
57.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
56.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
56.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
56.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
56.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
56.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
56.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
56.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
56.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
55.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
55.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
55.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
55.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
55.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
55.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
55.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
55.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
55.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
55.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
55.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
55.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
55.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
55.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
55.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
54.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
54.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
54.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
54.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
54.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
54.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
54.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
54.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
54.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
54.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
54.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
54.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
54.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
54.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
53.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
53.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
53.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
53.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
53.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
53.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
53.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
52.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
52.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
52.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
52.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
52.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
52.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
52.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
52.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
52.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
51.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
51.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
51.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
51.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
51.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
51.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
51.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
51.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
51.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
50.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
50.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
50.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
50.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
50.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
50.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
50.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
49.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
49.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
49.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
49.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
49.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
49.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
49.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
49.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
49.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
49.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
49.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
48.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
48.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
48.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
48.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
48.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
47.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
47.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
47.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
47.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
47.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
47.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
46.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
46.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
46.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
46.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
45.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
45.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
45.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
44.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
44.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
44.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
43.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
43.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
42.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
42.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
42.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
41.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
41.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
41.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
40.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
40.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
40.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
38.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
37.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
36.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
36.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
36.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
35.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
35.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
34.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HADHB 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
61.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
98.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
97.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
95.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
93.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
93.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
90.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
89.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
89.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
85.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
84.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
84.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
81.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
78.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
78.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
76.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
75.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
75.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
74.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
74.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
74.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
73.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
73.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
72.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
71.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
70.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
70.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
70.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
69.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
69.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
69.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
67.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
67.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
65.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
65.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
65.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
65.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
64.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
64.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
63.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
63.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
62.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
61.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
61.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
61.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
60.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
59.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
59.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
59.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
58.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
58.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
58.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
56.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
56.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
55.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
55.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
54.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
54.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
54.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
53.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
52.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
51.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
50.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
50.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
48.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
48.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
47.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
47.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
47.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
47.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
47.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
46.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
46.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
45.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
45.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
43.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
40.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
39.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
38.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
33.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
20.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HADHB 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
53.9
Number of samples
207
Samples
Sample
Description
TPM
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
95.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
94.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
91.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
90.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
90.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
88.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
82.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
81.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
81.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
78.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
77.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
76.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
75.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
74.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
74.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
73.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
73.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
73.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
72.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
72.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
71.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
71.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
70.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
70.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
70.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
68.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
68.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
67.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
67.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
67.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
67.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
66.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
66.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
66.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
66.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
65.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
65.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
65.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
65.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
64.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
64.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
63.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
63.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
63.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
63.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
62.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
62.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
62.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
62.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
62.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
62.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
61.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
61.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
61.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
61.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
61.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
60.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
60.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
60.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
59.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
59.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
59.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
58.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
58.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
57.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
57.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
57.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
57.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
56.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
56.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
56.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
56.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
55.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
55.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
55.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
55.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
54.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
54.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
54.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
54.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
54.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
54.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
54.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
53.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
53.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
52.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
52.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
52.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
51.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
50.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
50.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
50.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
50.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
49.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
49.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
49.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
49.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
48.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
48.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
48.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
47.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
47.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
47.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
46.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
46.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
46.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
46.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
46.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
45.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
45.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
44.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
44.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
43.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
43.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
43.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
42.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
42.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
42.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
42.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
42.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
42.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
41.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
41.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
40.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
40.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
40.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
39.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
37.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
37.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
35.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
33.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
32.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
32.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
23.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.9
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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
1.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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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
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
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
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
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
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Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
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Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
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Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
