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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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.044
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.
52%
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.
43%
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
1748.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
6363.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
6172.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
6133.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
6113.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
5523.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
5376.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
5176.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
5086.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
4801.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
4641.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
4604.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
4574.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
4537.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
4380.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
4368.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
4361.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
4277.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
4259.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
4075.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
4075.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
4050.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
3909.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
3908.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
3893.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
3885.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
3871.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3755.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
3702.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
3698.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3680.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
3653.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
3585.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
3579.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
3522.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
3510.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3508.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
3489.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
3480.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3477.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
3461.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
3454.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
3442.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
3411.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
3367.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
3324.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3315.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
3251.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
3241.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
3199.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
3193.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3175.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
3136.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
3132.3
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3129.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
3128.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3050.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
3047.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3010.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2979.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2974.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2952.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2943.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2942.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2939.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2928.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2923.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2909.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2893.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2881.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2879.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2822.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
2810.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2781.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2769.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
2761.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2754.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2730.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2704.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
2687.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
2673.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2668.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2662.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2609.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
2604.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2572.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2570.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2533.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2533.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2519.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2501.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2487.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2486.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2472.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
2455.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2452.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2451.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2430.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2421.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2413.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2400.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
2374.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2372.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2367.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
2350.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
2317.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2302.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2297.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2290.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2289.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2247.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2240.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2236.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2229.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2228.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2224.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2212.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
2206.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2162.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2127.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2127.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2122.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2117.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2105.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2100.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
2099.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2095.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2095.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2085.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
2076.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2075.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2065.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2055.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
2046.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2044.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2031.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2024.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2007.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1999.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1994.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1989.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1986.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1984.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1962.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1937.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1911.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1881.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1880.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1851.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1845.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1840.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1826.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1819.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1807.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1799.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1796.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1794.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1776.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1776.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1765.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1733.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1695.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1674.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1673.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1672.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1663.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1656.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1623.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1605.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1597.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1583.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1581.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1569.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1568.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1559.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1552.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1547.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1544.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1540.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1533.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1530.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1526.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1525.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1515.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1508.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1469.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1465.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1459.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1448.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1434.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1421.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1412.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1398.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1393.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1379.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1372.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1365.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1363.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1362.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1345.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1344.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1340.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1333.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1320.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1310.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1310.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1308.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1305.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1294.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1283.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1270.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1269.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1258.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1252.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1248.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1246.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1234.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1233.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1222.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1184.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1175.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1150.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1130.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1126.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1120.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1103.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1101.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1080.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1079.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1077.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1077.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1065.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1045.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1044.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1039.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1035.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1033.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
996.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
982.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
978.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
976.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
974.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
973.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
972.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
956.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
945.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
945.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
942.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
924.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
917.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
916.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
913.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
883.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
878.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
868.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
866.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
861.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
857.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
820.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
813.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
811.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
803.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
778.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
771.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
764.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
755.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
752.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
740.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
736.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
730.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
729.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
681.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
673.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
657.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
645.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
638.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
635.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
623.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
612.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
606.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
602.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
594.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
594.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
592.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
589.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
585.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
580.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
568.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
554.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
551.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
551.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
550.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
543.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
529.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
527.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
517.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
514.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
513.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
503.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
491.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
488.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
473.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
472.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
455.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
449.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
446.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
438.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
430.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
426.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
424.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
409.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
400.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
395.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
387.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
384.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
379.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
369.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
357.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
355.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
351.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
336.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
324.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
323.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
317.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
314.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
312.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
307.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
306.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
295.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
295.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
283.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
280.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
277.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
268.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
264.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
246.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
246.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
244.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
234.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
221.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
211.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
201.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
200.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
173.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
172.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
164.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
150.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
148.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
141.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
133.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
126.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
106.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
98.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
77.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
76.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
73.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
72.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
72.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
66.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
55.1
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
53.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
48.2
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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.00080
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.
72%
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.
0%
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
1327.4
Number of samples
231
Samples
Sample
Description
TPM
DO50783
62 years, male, NA, stage:3, alive, 480 days
7430.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
5863.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
4986.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
4909.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
4801.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
4501.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
4496.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
4346.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
4305.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
4289.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
3729.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
3518.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
3444.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
3381.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
3345.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
3305.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3086.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
3042.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
2957.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
2878.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
2735.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
2723.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
2711.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
2652.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
2628.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
2605.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
2580.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
2569.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2552.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
2453.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
2429.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
2351.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
2321.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2319.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
2306.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
2292.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
2199.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
2182.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
2164.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2132.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
2130.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
2104.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
2088.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
2044.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
2039.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
2034.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2008.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
2002.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
1991.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
1964.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
1953.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
1952.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
1947.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
1912.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1890.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
1890.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
1885.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
1879.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
1878.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
1870.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
1852.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1849.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
1791.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1773.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
1722.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
1717.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1716.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
1707.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
1652.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1641.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
1637.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
1631.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
1628.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1614.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1587.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1580.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
1572.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
1542.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1530.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
1503.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1485.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
1477.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
1469.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
1443.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
1433.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1423.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1422.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
1406.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1389.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
1378.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
1373.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
1369.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
1369.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1351.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1337.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
1325.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
1263.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
1253.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
1248.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1210.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
1209.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1208.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1176.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
1172.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1168.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
1166.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
1145.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1137.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
1127.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
1114.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1106.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
1096.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1089.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1066.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1058.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
1035.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1034.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
1028.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
1024.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
1018.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
996.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
990.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
987.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
980.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
971.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
959.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
952.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
950.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
947.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
936.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
918.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
913.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
895.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
895.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
887.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
880.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
873.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
867.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
863.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
846.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
841.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
841.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
830.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
814.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
810.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
792.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
780.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
767.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
755.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
755.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
731.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
695.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
690.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
674.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
642.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
621.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
621.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
621.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
612.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
607.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
605.6
DO45105
61 years, male, NA, stage:1, alive, 1680 days
604.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
602.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
600.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
576.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
573.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
563.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
548.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
538.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
534.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
527.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
522.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
515.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
512.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
510.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
497.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
488.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
448.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
422.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
407.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
407.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
381.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
374.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
370.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
367.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
367.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
365.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
346.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
321.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
314.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
301.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
297.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
293.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
288.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
287.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
271.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
246.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
242.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
242.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
208.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
203.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
193.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
187.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
162.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
156.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
142.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
136.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
130.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
130.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
126.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
122.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
116.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
116.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
112.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
92.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
90.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
88.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
81.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
67.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
52.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
49.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
43.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
35.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
34.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
30.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
30.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
29.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
29.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
29.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
20.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
20.0
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
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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.