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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.
EPHX1 is not prognostic in Liver Hepatocellular Carcinoma (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 pTPM
2047.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
7287.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
7102.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
7080.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
6769.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
6458.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
6222.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
6126.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
6082.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
5651.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
5382.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
5356.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
5254.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
5217.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
5120.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
5087.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
4968.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
4936.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
4890.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
4847.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
4824.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
4706.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
4572.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
4565.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
4529.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
4517.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
4443.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
4327.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
4310.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
4285.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
4274.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
4210.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
4187.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
4165.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
4152.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
4081.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
4047.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
4042.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
4021.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
4009.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
3999.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
3982.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
3968.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
3968.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
3860.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3844.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
3818.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
3797.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
3790.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
3765.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
3702.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3699.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
3657.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
3640.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
3620.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
3605.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3600.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
3520.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3501.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
3491.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3473.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3466.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3462.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
3446.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
3445.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
3437.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3437.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3428.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
3407.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
3371.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
3366.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
3357.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
3353.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
3352.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3256.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
3215.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
3202.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3199.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
3198.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3154.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
3153.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
3150.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
3092.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
3089.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3058.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
3055.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2985.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2979.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2968.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2966.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2942.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2937.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2903.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2895.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2884.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2871.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2864.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2834.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2832.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2825.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2823.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
2822.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2758.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2757.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2749.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2734.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
2721.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
2712.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2711.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2697.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2686.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
2676.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2659.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2649.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2630.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2592.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
2584.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2581.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2580.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2573.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2555.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2535.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2524.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
2511.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2485.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2477.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2475.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2473.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2466.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
2456.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
2441.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2419.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2418.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2399.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2399.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2392.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2382.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2379.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2361.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2345.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2332.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2323.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2310.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2247.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2242.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2229.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2183.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2175.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2168.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2166.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
2166.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2165.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2131.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2124.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
2122.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
2107.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2080.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2066.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2057.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
2043.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2026.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2022.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1967.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1967.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1932.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1920.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1914.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1908.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1904.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1901.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1891.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1845.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1841.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1840.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1837.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1825.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1820.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1810.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1803.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1799.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1796.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1794.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1792.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1785.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1763.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1746.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1734.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1717.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1682.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1669.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1664.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1636.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1626.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1618.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1613.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1596.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1596.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1587.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1583.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1579.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1568.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1565.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1565.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1561.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1546.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1541.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1531.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1531.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1529.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1515.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1508.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1493.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1474.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1453.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1441.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1429.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1425.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1414.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1412.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1412.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1370.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1355.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1336.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1335.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1329.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1291.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1271.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1262.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1262.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1256.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1255.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1244.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1243.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1240.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1240.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1238.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1217.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1213.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1177.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1175.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1166.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1157.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1151.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1145.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1094.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1086.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1075.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1070.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1067.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1067.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1061.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1051.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1045.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1042.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1036.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1027.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1017.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
998.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
981.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
964.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
940.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
919.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
916.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
914.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
901.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
888.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
880.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
875.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
875.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
864.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
859.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
802.2
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
801.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
794.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
771.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
763.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
762.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
747.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
743.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
722.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
721.2
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
712.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
712.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
707.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
707.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
696.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
680.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
664.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
653.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
651.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
647.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
638.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
634.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
634.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
633.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
623.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
621.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
617.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
606.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
596.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
578.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
576.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
558.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
557.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
539.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
534.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
531.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
517.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
511.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
495.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
494.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
493.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
487.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
483.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
458.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
451.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
447.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
431.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
423.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
420.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
404.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
395.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
387.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
381.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
381.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
373.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
372.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
370.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
362.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
361.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
358.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
339.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
332.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
330.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
309.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
309.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
294.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
293.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
289.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
251.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
250.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
241.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
240.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
213.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
212.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
194.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
191.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
182.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
168.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
155.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
141.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
127.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
117.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
102.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
93.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
88.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
85.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
82.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
76.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
66.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
65.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
61.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 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.
EPHX1 is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (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 pTPM
2184.7
Number of samples
231
Samples
Sample
Description
pTPM
DO50783
62 years, male, NA, stage:3, alive, 480 days
10801.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
8265.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
8044.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
8013.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
7774.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
7538.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
7404.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
7128.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
6575.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
5933.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
5647.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
5585.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
5444.0
DO50814
83 years, male, NA, stage:3, alive, 420 days
5433.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
5188.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
5088.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
5052.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
5010.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
4961.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
4927.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
4838.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
4760.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
4672.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
4571.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
4417.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
4361.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
4308.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
4253.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
4164.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
4135.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
4032.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
3901.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
3900.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
3882.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
3881.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
3877.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
3849.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
3747.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
3736.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
3609.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3552.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
3462.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
3415.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
3368.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
3331.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
3298.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
3284.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
3255.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
3215.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
3189.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
3164.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
3162.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
3150.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
3142.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
3071.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3053.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
2972.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
2943.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
2913.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
2878.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
2863.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2839.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
2835.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
2820.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
2809.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
2804.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
2774.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
2763.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2760.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2755.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
2745.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
2712.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2709.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
2709.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
2689.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
2688.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
2671.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2651.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2621.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
2592.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
2575.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
2567.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2567.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
2497.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
2486.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2448.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
2438.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
2414.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2385.1
DO45255
81 years, male, NA, stage:3, alive, 720 days
2376.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
2288.3
DO23529
72 years, male, NA, stage:4, alive, 930 days
2253.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
2247.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
2237.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
2185.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2130.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2121.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
2116.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
2110.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
2083.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
1998.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
1995.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1987.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1971.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1967.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1929.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1909.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
1850.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
1847.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1844.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
1824.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
1821.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
1810.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1803.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
1788.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
1765.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1760.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
1723.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
1712.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1677.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1673.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1660.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
1659.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
1653.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1600.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
1596.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
1588.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
1566.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1552.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
1545.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
1543.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
1517.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1509.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1502.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1484.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
1468.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
1456.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
1445.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
1440.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1438.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
1405.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
1398.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
1389.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
1353.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
1337.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
1332.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1319.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1275.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1263.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1187.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1138.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1116.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
1103.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
1085.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1085.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
1085.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1029.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1023.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
1021.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1015.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
1004.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
997.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
996.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
991.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
991.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
986.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
979.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
970.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
936.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
934.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
918.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
916.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
909.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
898.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
891.6
DO45205
67 years, female, NA, stage:2, dead, 90 days
882.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
815.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
806.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
799.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
771.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
721.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
712.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
712.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
691.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
686.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
665.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
627.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
596.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
583.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
576.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
548.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
536.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
498.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
449.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
440.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
432.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
428.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
421.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
395.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
388.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
372.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
371.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
323.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
281.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
278.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
277.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
273.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
270.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
264.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
254.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
237.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
229.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
228.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
210.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
186.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
184.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
174.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
158.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
107.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
104.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
96.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
72.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
72.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
61.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
57.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
55.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
54.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
50.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
50.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
36.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
27.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
435
Tumor
1.8
445
Tumor
1.7
741
Tumor
1.4
857
Tumor
1.3
147
Tumor
1.2
977
Tumor
1.1
615
Tumor
1.0
357
Tumor
1.0
1043
Tumor
0.9
915
Tumor
0.9
911
Tumor
0.8
171
Tumor
0.8
745
Tumor
0.8
128
Normal
0.8
863
Tumor
0.7
342
Normal
0.7
635
Tumor
0.7
963
Tumor
0.7
777
Tumor
0.7
1027
Tumor
0.7
867
Tumor
0.7
466
Normal
0.7
257
Tumor
0.6
127
Tumor
0.6
172
Normal
0.5
648
Normal
0.5
452
Normal
0.5
938
Normal
0.5
1013
Tumor
0.5
873
Tumor
0.5
196
Normal
0.5
298
Normal
0.5
393
Tumor
0.4
267
Tumor
0.4
488
Normal
0.4
481
Tumor
0.4
388
Normal
0.4
451
Tumor
0.4
314
Normal
0.4
744
Normal
0.4
571
Tumor
0.4
132
Normal
0.4
647
Tumor
0.4
698
Normal
0.4
636
Normal
0.4
278
Normal
0.4
423
Tumor
0.4
426
Normal
0.4
162
Normal
0.4
553
Tumor
0.4
742
Normal
0.4
358
Normal
0.4
533
Tumor
0.4
354
Normal
0.4
746
Normal
0.4
484
Normal
0.3
258
Normal
0.3
723
Tumor
0.3
1022
Normal
0.3
568
Normal
0.3
148
Normal
0.3
222
Normal
0.3
356
Normal
0.3
862
Normal
0.3
191
Tumor
0.3
436
Normal
0.3
1026
Normal
0.3
277
Tumor
0.3
616
Normal
0.3
366
Normal
0.3
462
Normal
0.3
738
Normal
0.3
618
Normal
0.3
922
Normal
0.3
332
Normal
0.3
1046
Normal
0.3
944
Normal
0.2
1032
Normal
0.2
976
Normal
0.2
361
Tumor
0.2
914
Normal
0.2
422
Normal
0.2
123
Tumor
0.2
111
Normal
0.2
864
Normal
0.2
913
Tumor
0.2
721
Tumor
0.2
186
Normal
0.2
232
Normal
0.2
527
Tumor
0.2
313
Tumor
0.2
392
Normal
0.2
142
Normal
0.2
231
Tumor
0.2
714
Normal
0.2
214
Normal
0.2
376
Normal
0.2
446
Normal
0.2
272
Normal
0.2
861
Tumor
0.2
433
Tumor
0.2
448
Normal
0.2
465
Tumor
0.2
786
Normal
0.2
394
Normal
0.2
227
Tumor
0.2
956
Normal
0.2
482
Normal
0.2
1044
Normal
0.2
982
Normal
0.2
572
Normal
0.2
564
Normal
0.1
368
Normal
0.1
114
Normal
0.1
112
Tumor
0.1
882
Normal
0.1
785
Tumor
0.1
483
Tumor
0.1
494
Normal
0.1
1016
Normal
0.1
464
Normal
0.1
546
Normal
0.1
662
Normal
0.1
755
Tumor
0.1
414
Normal
0.1
818
Normal
0.1
955
Tumor
0.1
642
Normal
0.1
362
Normal
0.1
396
Normal
0.1
878
Normal
0.1
534
Normal
0.1
728
Normal
0.1
952
Normal
0.1
924
Normal
0.1
722
Normal
0.1
138
Normal
0.1
412
Normal
0.1
664
Normal
0.1
262
Normal
0.1
432
Normal
0.1
472
Normal
0.1
912
Normal
0.1
918
Normal
0.1
212
Normal
0.1
312
Normal
0.1
515
Tumor
0.1
824
Normal
0.1
921
Tumor
0.1
816
Normal
0.1
428
Normal
0.0
756
Normal
0.0
866
Normal
0.0
666
Normal
0.0
185
Tumor
0.0
424
Normal
0.0
328
Normal
0.0
187
Tumor
0.0
126
Normal
0.0
865
Tumor
0.0
868
Normal
0.0
628
Normal
0.0
136
Normal
0.0
518
Normal
0.0
468
Normal
0.0
474
Normal
0.0
978
Normal
0.0
1014
Normal
0.0
686
Normal
0.0
716
Normal
0.0
926
Normal
0.0
852
Normal
0.0
966
Normal
0.0
1045
Tumor
0.0
964
Normal
0.0
858
Normal
-0.1
493
Tumor
-0.1
471
Tumor
-0.1
353
Tumor
-0.1
188
Normal
-0.1
554
Normal
-0.1
364
Normal
-0.1
228
Normal
-0.1
434
Normal
-0.1
456
Normal
-0.1
968
Normal
-0.1
1041
Tumor
-0.1
884
Normal
-0.1
954
Normal
-0.1
1028
Normal
-0.1
1021
Tumor
-0.1
874
Normal
-0.1
672
Normal
-0.1
327
Tumor
-0.1
124
Normal
-0.1
411
Tumor
-0.1
146
Normal
-0.1
685
Tumor
-0.1
696
Normal
-0.1
384
Normal
-0.1
137
Tumor
-0.1
113
Tumor
-0.2
1042
Normal
-0.2
268
Normal
-0.2
344
Normal
-0.2
558
Normal
-0.2
958
Normal
-0.2
218
Normal
-0.2
574
Normal
-0.2
463
Tumor
-0.2
145
Tumor
-0.2
923
Tumor
-0.2
851
Tumor
-0.2
352
Normal
-0.2
286
Normal
-0.2
415
Tumor
-0.2
526
Normal
-0.2
528
Normal
-0.2
513
Tumor
-0.2
514
Normal
-0.2
627
Tumor
-0.2
663
Tumor
-0.2
1031
Tumor
-0.2
516
Normal
-0.3
284
Normal
-0.3
567
Tumor
-0.3
981
Tumor
-0.3
431
Tumor
-0.3
365
Tumor
-0.3
363
Tumor
-0.3
416
Normal
-0.3
386
Normal
-0.3
538
Normal
-0.3
261
Tumor
-0.3
224
Normal
-0.3
916
Normal
-0.3
477
Tumor
-0.3
727
Tumor
-0.3
492
Normal
-0.3
883
Tumor
-0.3
478
Normal
-0.3
984
Normal
-0.3
444
Normal
-0.3
517
Tumor
-0.4
141
Tumor
-0.4
617
Tumor
-0.4
715
Tumor
-0.4
724
Normal
-0.4
461
Tumor
-0.4
713
Tumor
-0.4
525
Tumor
-0.4
823
Tumor
-0.4
563
Tumor
-0.4
1025
Tumor
-0.4
297
Tumor
-0.4
641
Tumor
-0.4
778
Normal
-0.5
271
Tumor
-0.5
161
Tumor
-0.5
925
Tumor
-0.5
813
Tumor
-0.5
975
Tumor
-0.5
387
Tumor
-0.5
192
Normal
-0.6
737
Tumor
-0.6
665
Tumor
-0.6
957
Tumor
-0.6
953
Tumor
-0.6
557
Tumor
-0.6
195
Tumor
-0.6
443
Tumor
-0.6
473
Tumor
-0.6
421
Tumor
-0.6
131
Tumor
-0.6
523
Tumor
-0.7
217
Tumor
-0.7
537
Tumor
-0.7
213
Tumor
-0.7
498
Normal
-0.7
881
Tumor
-0.7
391
Tumor
-0.7
375
Tumor
-0.7
697
Tumor
-0.7
221
Tumor
-0.7
341
Tumor
-0.7
524
Normal
-0.8
877
Tumor
-0.8
536
Normal
-0.8
814
Normal
-0.8
491
Tumor
-0.9
125
Tumor
-0.9
427
Tumor
-0.9
355
Tumor
-0.9
455
Tumor
-0.9
1015
Tumor
-0.9
383
Tumor
-1.0
951
Tumor
-1.0
135
Tumor
-1.0
573
Tumor
-1.0
447
Tumor
-1.0
223
Tumor
-1.1
487
Tumor
-1.1
943
Tumor
-1.2
311
Tumor
-1.3
467
Tumor
-1.3
743
Tumor
-1.3
695
Tumor
-1.3
343
Tumor
-1.4
331
Tumor
-1.4
425
Tumor
-1.5
413
Tumor
-1.5
917
Tumor
-1.6
283
Tumor
-1.7
351
Tumor
-1.7
817
Tumor
-1.7
815
Tumor
-1.7
671
Tumor
-1.7
367
Tumor
-1.8
965
Tumor
-1.8
395
Tumor
-1.8
545
Tumor
-1.8
937
Tumor
-1.8
497
Tumor
-1.8
983
Tumor
-1.9
385
Tumor
-1.9
967
Tumor
-2.1
211
Tumor
-2.1
661
Tumor
-2.1
285
Tumor
-2.2
535
Tumor
-2.3
Show allShow less
LIVER 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
