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A Computed Tomography Radiogenomic Biomarker Predicts Microvascular Invasion and Clinical Outcomes in Hepatocellular Carcinoma

Microvascular invasion (MVI) in hepatocellular carcinoma (HCC) is an independent predictor of poor outcomes subsequent to surgical resection or liver transplantation (LT); however, MVI currently cannot be adequately determined preoperatively. Radiogenomic venous invasion (RVI) is a contrast-enhanced...

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Autores principales: Banerjee, Sudeep, Wang, David S, Kim, Hyun J, Sirlin, Claude B, Chan, Michael G, Korn, Ronald L, Rutman, Aaron M, Siripongsakun, Surachate, Lu, David, Imanbayev, Galym, Kuo, Michael D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654334/
https://www.ncbi.nlm.nih.gov/pubmed/25930992
http://dx.doi.org/10.1002/hep.27877
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author Banerjee, Sudeep
Wang, David S
Kim, Hyun J
Sirlin, Claude B
Chan, Michael G
Korn, Ronald L
Rutman, Aaron M
Siripongsakun, Surachate
Lu, David
Imanbayev, Galym
Kuo, Michael D
author_facet Banerjee, Sudeep
Wang, David S
Kim, Hyun J
Sirlin, Claude B
Chan, Michael G
Korn, Ronald L
Rutman, Aaron M
Siripongsakun, Surachate
Lu, David
Imanbayev, Galym
Kuo, Michael D
author_sort Banerjee, Sudeep
collection PubMed
description Microvascular invasion (MVI) in hepatocellular carcinoma (HCC) is an independent predictor of poor outcomes subsequent to surgical resection or liver transplantation (LT); however, MVI currently cannot be adequately determined preoperatively. Radiogenomic venous invasion (RVI) is a contrast-enhanced computed tomography (CECT) biomarker of MVI derived from a 91-gene HCC “venous invasion” gene expression signature. Preoperative CECTs of 157 HCC patients who underwent surgical resection (N = 72) or LT (N = 85) between 2000 and 2009 at three institutions were evaluated for the presence or absence of RVI. RVI was assessed for its ability to predict MVI and outcomes. Interobserver agreement for scoring RVI was substantial among five radiologists (κ = 0.705; P < 0.001). The diagnostic accuracy, sensitivity, and specificity of RVI in predicting MVI was 89%, 76%, and 94%, respectively. Positive RVI score was associated with lower overall survival (OS) than negative RVI score in the overall cohort (P < 0.001; 48 vs. >147 months), American Joint Committee on Cancer tumor-node-metastasis stage II (P < 0.001; 34 vs. >147 months), and in LT patients within Milan criteria (P < 0.001; 69 vs. >147 months). Positive RVI score also portended lower recurrence-free survival at 3 years versus negative RVI score (P = 0.001; 27% vs. 62%). Conclusion: RVI is a noninvasive radiogenomic biomarker that accurately predicts histological MVI in HCC surgical candidates. Its presence on preoperative CECT is associated with early disease recurrence and poor OS and may be useful for identifying patients less likely to derive a durable benefit from surgical treatment. (Hepatology 2015;62:792–800)
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spelling pubmed-46543342015-11-27 A Computed Tomography Radiogenomic Biomarker Predicts Microvascular Invasion and Clinical Outcomes in Hepatocellular Carcinoma Banerjee, Sudeep Wang, David S Kim, Hyun J Sirlin, Claude B Chan, Michael G Korn, Ronald L Rutman, Aaron M Siripongsakun, Surachate Lu, David Imanbayev, Galym Kuo, Michael D Hepatology Hepatobiliary Malignancies Microvascular invasion (MVI) in hepatocellular carcinoma (HCC) is an independent predictor of poor outcomes subsequent to surgical resection or liver transplantation (LT); however, MVI currently cannot be adequately determined preoperatively. Radiogenomic venous invasion (RVI) is a contrast-enhanced computed tomography (CECT) biomarker of MVI derived from a 91-gene HCC “venous invasion” gene expression signature. Preoperative CECTs of 157 HCC patients who underwent surgical resection (N = 72) or LT (N = 85) between 2000 and 2009 at three institutions were evaluated for the presence or absence of RVI. RVI was assessed for its ability to predict MVI and outcomes. Interobserver agreement for scoring RVI was substantial among five radiologists (κ = 0.705; P < 0.001). The diagnostic accuracy, sensitivity, and specificity of RVI in predicting MVI was 89%, 76%, and 94%, respectively. Positive RVI score was associated with lower overall survival (OS) than negative RVI score in the overall cohort (P < 0.001; 48 vs. >147 months), American Joint Committee on Cancer tumor-node-metastasis stage II (P < 0.001; 34 vs. >147 months), and in LT patients within Milan criteria (P < 0.001; 69 vs. >147 months). Positive RVI score also portended lower recurrence-free survival at 3 years versus negative RVI score (P = 0.001; 27% vs. 62%). Conclusion: RVI is a noninvasive radiogenomic biomarker that accurately predicts histological MVI in HCC surgical candidates. Its presence on preoperative CECT is associated with early disease recurrence and poor OS and may be useful for identifying patients less likely to derive a durable benefit from surgical treatment. (Hepatology 2015;62:792–800) Blackwell Publishing Ltd 2015-09 2015-07-01 /pmc/articles/PMC4654334/ /pubmed/25930992 http://dx.doi.org/10.1002/hep.27877 Text en © 2015 by the American Association for the Study of Liver Diseases
spellingShingle Hepatobiliary Malignancies
Banerjee, Sudeep
Wang, David S
Kim, Hyun J
Sirlin, Claude B
Chan, Michael G
Korn, Ronald L
Rutman, Aaron M
Siripongsakun, Surachate
Lu, David
Imanbayev, Galym
Kuo, Michael D
A Computed Tomography Radiogenomic Biomarker Predicts Microvascular Invasion and Clinical Outcomes in Hepatocellular Carcinoma
title A Computed Tomography Radiogenomic Biomarker Predicts Microvascular Invasion and Clinical Outcomes in Hepatocellular Carcinoma
title_full A Computed Tomography Radiogenomic Biomarker Predicts Microvascular Invasion and Clinical Outcomes in Hepatocellular Carcinoma
title_fullStr A Computed Tomography Radiogenomic Biomarker Predicts Microvascular Invasion and Clinical Outcomes in Hepatocellular Carcinoma
title_full_unstemmed A Computed Tomography Radiogenomic Biomarker Predicts Microvascular Invasion and Clinical Outcomes in Hepatocellular Carcinoma
title_short A Computed Tomography Radiogenomic Biomarker Predicts Microvascular Invasion and Clinical Outcomes in Hepatocellular Carcinoma
title_sort computed tomography radiogenomic biomarker predicts microvascular invasion and clinical outcomes in hepatocellular carcinoma
topic Hepatobiliary Malignancies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654334/
https://www.ncbi.nlm.nih.gov/pubmed/25930992
http://dx.doi.org/10.1002/hep.27877
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