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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.
VTN is validated prognostic, high expression is favorable 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
4796.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
14040.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
12295.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
11960.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
11450.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
11196.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
11142.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
10984.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
10972.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
10484.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
10359.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
10230.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
10179.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
10132.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
10045.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
9866.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
9852.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
9686.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
9510.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
9452.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
9451.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
9323.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
9256.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
9183.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
9046.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
8875.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
8861.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
8829.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
8811.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
8792.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
8782.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
8695.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
8685.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
8673.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
8635.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
8596.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
8560.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
8541.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
8520.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
8512.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
8441.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
8429.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
8419.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
8385.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
8304.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
8141.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
8112.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
8065.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
8011.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
7958.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
7867.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
7866.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
7639.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
7611.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
7609.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
7573.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
7502.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
7435.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
7411.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
7409.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
7394.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
7309.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
7304.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
7268.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
7219.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
7217.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
7209.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
7200.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
7184.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
7133.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
7089.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
7083.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
7063.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
7059.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
7015.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
6983.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
6975.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
6975.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
6891.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
6869.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
6833.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
6736.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
6724.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
6698.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
6695.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
6678.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
6659.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
6627.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
6614.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
6588.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
6585.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
6522.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
6514.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
6497.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
6463.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
6444.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
6443.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
6427.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
6394.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
6377.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
6296.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
6235.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
6171.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
6145.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
6105.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
6099.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
6053.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
6040.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
6039.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
6018.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
5994.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
5958.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
5945.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
5925.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
5866.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
5802.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
5743.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
5742.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
5727.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
5704.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
5702.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
5635.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
5634.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
5612.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
5554.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
5538.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
5464.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
5456.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
5451.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
5448.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
5436.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
5422.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
5419.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
5397.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
5396.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
5394.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
5386.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
5349.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
5320.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
5319.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
5294.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
5272.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
5255.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
5218.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
5204.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
5152.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
5130.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
5127.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
5121.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
5114.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
5081.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
5079.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
5043.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
5001.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
4965.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
4958.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
4950.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
4945.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
4934.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
4910.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
4908.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
4906.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
4891.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
4887.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
4872.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
4865.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
4815.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
4812.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
4791.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
4750.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
4737.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
4701.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
4690.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4667.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
4621.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
4621.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
4608.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
4597.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
4596.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
4596.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
4595.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
4577.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
4520.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
4514.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
4511.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
4487.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
4465.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
4453.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4426.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
4389.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4375.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
4369.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
4361.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
4315.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
4295.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
4291.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
4246.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
4222.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
4214.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4184.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
4180.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
4155.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
4092.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
4088.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
4087.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
4042.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
4032.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
4027.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
4022.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
4001.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3991.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
3971.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3971.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3969.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3947.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
3944.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
3926.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3889.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
3877.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3866.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
3864.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
3806.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
3788.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
3764.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3759.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3752.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
3735.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
3730.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3724.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
3723.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3713.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
3703.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
3686.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
3652.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
3649.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
3589.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
3571.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
3515.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
3488.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
3486.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3479.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
3471.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
3416.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
3393.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
3377.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
3371.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
3353.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3337.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
3249.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3247.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
3228.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
3227.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
3210.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
3208.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3175.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
3165.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
3153.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3143.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
3134.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
3095.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
3071.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
3046.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
3012.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2998.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2997.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2951.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2941.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
2936.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2935.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2904.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2894.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2882.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2859.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2825.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2816.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2784.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2784.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
2769.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2763.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2762.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2730.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2729.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2704.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2692.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2690.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2671.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
2657.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2654.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2629.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2629.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2614.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2595.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2562.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
2531.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2511.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2510.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2444.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2365.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2340.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2330.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2310.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2283.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2240.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2234.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
2216.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2215.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2103.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2063.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2054.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
2038.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2037.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2009.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2008.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1978.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1893.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1892.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1886.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1759.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1709.2
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1701.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1692.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1688.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1663.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1637.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1637.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1601.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1544.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1445.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1416.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1398.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1380.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1369.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1367.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1221.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1219.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1137.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1069.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1067.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1016.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
967.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
909.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
898.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
868.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
851.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
844.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
842.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
826.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
803.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
741.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
720.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
695.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
682.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
628.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
594.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
527.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
438.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
412.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
325.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
271.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
230.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
11.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
3.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
VTN is validated 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
5054.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45205
67 years, female, NA, stage:2, dead, 90 days
14453.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
13707.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
13688.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
11915.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
11728.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
11333.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
11112.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
10906.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
10811.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
10795.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
10639.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
10241.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
9760.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
9574.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
9553.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
9445.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
9318.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
9302.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
9149.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
9147.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
9018.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
8998.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
8916.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
8893.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
8782.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
8513.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
8497.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
8279.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
8021.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
7948.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
7902.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
7864.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
7823.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
7816.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
7792.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
7771.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
7767.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
7758.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
7681.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
7645.7
DO45273
62 years, male, NA, stage:2, alive, 480 days
7636.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
7573.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
7524.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
7431.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
7334.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
7318.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
7181.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
7100.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
7077.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
7018.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
6970.1
DO50825
70 years, male, NA, stage:2, alive, 390 days
6964.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
6962.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
6942.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
6935.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
6817.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
6708.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
6708.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
6623.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
6609.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
6606.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
6522.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
6498.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
6452.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
6436.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
6403.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
6364.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
6242.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
6169.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
6140.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
6137.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
6077.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
6066.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
5982.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
5930.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
5900.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
5831.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
5830.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
5826.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
5789.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
5733.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
5674.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
5661.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
5631.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
5620.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
5585.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
5575.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
5574.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
5574.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
5562.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
5547.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
5529.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
5500.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
5434.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
5423.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
5361.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
5322.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
5292.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
5284.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
5284.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
5206.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
5192.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
5169.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
5169.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
5166.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
5150.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
5104.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
5065.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
5063.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
5050.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
5048.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
5039.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
4998.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
4909.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
4884.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
4879.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
4871.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
4862.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
4836.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
4799.1
DO50817
75 years, male, NA, stage:2, alive, 390 days
4766.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
4760.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
4754.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
4725.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
4720.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
4714.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
4709.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
4706.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
4696.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
4661.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
4625.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
4568.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
4564.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
4564.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
4536.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
4529.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
4528.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
4486.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
4483.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
4464.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
4439.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
4410.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
4365.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
4356.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
4294.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
4138.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
4120.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
4108.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
4069.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
4064.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
4046.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
3992.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
3976.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
3960.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
3944.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
3878.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
3827.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
3813.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
3794.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3793.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
3761.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
3744.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
3723.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
3654.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
3635.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
3605.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
3592.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
3520.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
3317.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3285.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
3259.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
3231.0
DO23541
65 years, male, NA, stage:2, alive, 930 days
3207.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
3205.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
3089.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
3085.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
3049.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
3049.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
3028.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2983.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
2963.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
2932.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
2802.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
2795.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
2747.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
2659.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2590.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
2557.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
2336.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2329.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
2248.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
2189.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
2144.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
2121.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
2119.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1951.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
1913.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1850.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
1829.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
1816.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1756.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
1732.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1688.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
1627.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
1512.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
1435.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
1414.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
1385.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
1183.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
1176.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
1119.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
1104.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
1032.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
925.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
813.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
676.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
609.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
608.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
606.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
488.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
297.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
281.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
174.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
135.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
106.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
87.1
DO45307
54 years, female, NA, stage:4, dead, 240 days
21.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
15.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
12.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
7.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
2.0
425
Tumor
1.6
343
Tumor
1.3
463
Tumor
1.2
671
Tumor
1.2
192
Normal
1.1
125
Tumor
1.1
635
Tumor
1.0
815
Tumor
1.0
863
Tumor
0.9
355
Tumor
0.8
527
Tumor
0.8
277
Tumor
0.8
131
Tumor
0.8
743
Tumor
0.6
813
Tumor
0.6
217
Tumor
0.6
647
Tumor
0.6
697
Tumor
0.6
445
Tumor
0.6
975
Tumor
0.5
375
Tumor
0.5
224
Normal
0.5
455
Tumor
0.5
185
Tumor
0.4
471
Tumor
0.4
715
Tumor
0.4
271
Tumor
0.4
742
Normal
0.4
1044
Normal
0.4
223
Tumor
0.4
883
Tumor
0.4
862
Normal
0.4
413
Tumor
0.4
186
Normal
0.4
745
Tumor
0.3
823
Tumor
0.3
227
Tumor
0.3
983
Tumor
0.3
777
Tumor
0.3
124
Normal
0.3
342
Normal
0.3
394
Normal
0.3
744
Normal
0.3
817
Tumor
0.3
921
Tumor
0.3
881
Tumor
0.3
958
Normal
0.3
523
Tumor
0.2
393
Tumor
0.2
218
Normal
0.2
443
Tumor
0.2
392
Normal
0.2
814
Normal
0.2
545
Tumor
0.2
354
Normal
0.2
137
Tumor
0.2
357
Tumor
0.2
391
Tumor
0.2
976
Normal
0.2
421
Tumor
0.2
517
Tumor
0.2
452
Normal
0.2
741
Tumor
0.1
297
Tumor
0.1
465
Tumor
0.1
366
Normal
0.1
536
Normal
0.1
516
Normal
0.1
135
Tumor
0.1
433
Tumor
0.1
221
Tumor
0.1
146
Normal
0.1
363
Tumor
0.1
444
Normal
0.1
268
Normal
0.1
474
Normal
0.1
716
Normal
0.1
435
Tumor
0.1
431
Tumor
0.1
685
Tumor
0.1
922
Normal
0.1
384
Normal
0.1
162
Normal
0.1
461
Tumor
0.1
298
Normal
0.1
981
Tumor
0.1
713
Tumor
0.0
423
Tumor
0.0
533
Tumor
0.0
386
Normal
0.0
365
Tumor
0.0
462
Normal
0.0
388
Normal
0.0
368
Normal
0.0
663
Tumor
0.0
187
Tumor
0.0
214
Normal
0.0
977
Tumor
0.0
284
Normal
0.0
422
Normal
0.0
938
Normal
0.0
574
Normal
0.0
466
Normal
0.0
126
Normal
0.0
352
Normal
0.0
672
Normal
0.0
344
Normal
0.0
111
Normal
0.0
636
Normal
0.0
524
Normal
0.0
138
Normal
-0.1
746
Normal
-0.1
426
Normal
-0.1
494
Normal
-0.1
385
Tumor
-0.1
383
Tumor
-0.1
738
Normal
-0.1
142
Normal
-0.1
414
Normal
-0.1
395
Tumor
-0.1
497
Tumor
-0.1
641
Tumor
-0.1
1026
Normal
-0.1
328
Normal
-0.1
332
Normal
-0.1
171
Tumor
-0.1
161
Tumor
-0.1
428
Normal
-0.1
222
Normal
-0.1
914
Normal
-0.1
434
Normal
-0.1
331
Tumor
-0.1
816
Normal
-0.1
213
Tumor
-0.1
852
Normal
-0.1
196
Normal
-0.1
963
Tumor
-0.1
818
Normal
-0.1
362
Normal
-0.1
228
Normal
-0.1
424
Normal
-0.1
695
Tumor
-0.1
1045
Tumor
-0.1
968
Normal
-0.1
1022
Normal
-0.1
191
Tumor
-0.1
447
Tumor
-0.1
172
Normal
-0.1
132
Normal
-0.1
515
Tumor
-0.2
698
Normal
-0.2
918
Normal
-0.2
778
Normal
-0.2
351
Tumor
-0.2
141
Tumor
-0.2
361
Tumor
-0.2
195
Tumor
-0.2
864
Normal
-0.2
1021
Tumor
-0.2
358
Normal
-0.2
262
Normal
-0.2
472
Normal
-0.2
618
Normal
-0.2
261
Tumor
-0.2
492
Normal
-0.2
148
Normal
-0.2
662
Normal
-0.2
482
Normal
-0.2
1028
Normal
-0.2
468
Normal
-0.2
723
Tumor
-0.2
535
Tumor
-0.2
498
Normal
-0.2
188
Normal
-0.2
285
Tumor
-0.2
538
Normal
-0.2
313
Tumor
-0.2
664
Normal
-0.2
283
Tumor
-0.2
448
Normal
-0.2
851
Tumor
-0.2
558
Normal
-0.2
396
Normal
-0.2
882
Normal
-0.2
484
Normal
-0.2
147
Tumor
-0.2
113
Tumor
-0.2
785
Tumor
-0.2
868
Normal
-0.2
884
Normal
-0.2
1015
Tumor
-0.2
573
Tumor
-0.2
727
Tumor
-0.2
456
Normal
-0.2
272
Normal
-0.3
286
Normal
-0.3
136
Normal
-0.3
518
Normal
-0.3
232
Normal
-0.3
114
Normal
-0.3
432
Normal
-0.3
642
Normal
-0.3
464
Normal
-0.3
212
Normal
-0.3
446
Normal
-0.3
312
Normal
-0.3
648
Normal
-0.3
436
Normal
-0.3
376
Normal
-0.3
982
Normal
-0.3
665
Tumor
-0.3
353
Tumor
-0.3
483
Tumor
-0.3
314
Normal
-0.3
477
Tumor
-0.3
951
Tumor
-0.3
917
Tumor
-0.3
954
Normal
-0.3
564
Normal
-0.3
367
Tumor
-0.3
488
Normal
-0.3
411
Tumor
-0.3
128
Normal
-0.3
966
Normal
-0.3
387
Tumor
-0.3
478
Normal
-0.3
145
Tumor
-0.3
956
Normal
-0.3
964
Normal
-0.3
572
Normal
-0.3
666
Normal
-0.3
526
Normal
-0.3
1046
Normal
-0.3
278
Normal
-0.3
412
Normal
-0.3
615
Tumor
-0.3
858
Normal
-0.4
364
Normal
-0.4
258
Normal
-0.4
616
Normal
-0.4
528
Normal
-0.4
728
Normal
-0.4
937
Tumor
-0.4
926
Normal
-0.4
341
Tumor
-0.4
1016
Normal
-0.4
866
Normal
-0.4
553
Tumor
-0.4
1025
Tumor
-0.4
112
Tumor
-0.4
878
Normal
-0.4
943
Tumor
-0.4
857
Tumor
-0.4
874
Normal
-0.4
628
Normal
-0.4
571
Tumor
-0.4
311
Tumor
-0.4
356
Normal
-0.4
554
Normal
-0.4
952
Normal
-0.4
1042
Normal
-0.4
967
Tumor
-0.4
923
Tumor
-0.4
978
Normal
-0.4
568
Normal
-0.4
534
Normal
-0.4
686
Normal
-0.5
916
Normal
-0.5
627
Tumor
-0.5
912
Normal
-0.5
514
Normal
-0.5
873
Tumor
-0.5
567
Tumor
-0.5
786
Normal
-0.5
563
Tumor
-0.5
546
Normal
-0.5
416
Normal
-0.5
557
Tumor
-0.5
696
Normal
-0.5
737
Tumor
-0.5
415
Tumor
-0.5
491
Tumor
-0.5
722
Normal
-0.5
1043
Tumor
-0.5
1032
Normal
-0.5
617
Tumor
-0.5
127
Tumor
-0.5
924
Normal
-0.5
487
Tumor
-0.5
756
Normal
-0.5
944
Normal
-0.6
1013
Tumor
-0.6
865
Tumor
-0.6
481
Tumor
-0.6
824
Normal
-0.6
984
Normal
-0.6
714
Normal
-0.6
467
Tumor
-0.6
1014
Normal
-0.6
913
Tumor
-0.6
327
Tumor
-0.6
427
Tumor
-0.6
513
Tumor
-0.6
955
Tumor
-0.6
123
Tumor
-0.7
267
Tumor
-0.7
661
Tumor
-0.7
493
Tumor
-0.7
861
Tumor
-0.7
1027
Tumor
-0.7
525
Tumor
-0.7
867
Tumor
-0.7
257
Tumor
-0.7
953
Tumor
-0.7
1031
Tumor
-0.8
721
Tumor
-0.8
755
Tumor
-0.8
231
Tumor
-0.8
1041
Tumor
-0.8
965
Tumor
-0.8
915
Tumor
-0.8
911
Tumor
-0.8
473
Tumor
-0.9
724
Normal
-0.9
451
Tumor
-0.9
925
Tumor
-1.0
211
Tumor
-1.1
957
Tumor
-1.1
537
Tumor
-1.3
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.