alexa A Novel Prognostic Score based on Serum Alpha-Fetoprotein, Number of Nodules, and MYC Gene Status Predicts Prognosis of Patients after Liver Resection for Hepatocellular Carcinoma | Abstract
ISSN: 2329-6771

Journal of Integrative Oncology
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

A Novel Prognostic Score based on Serum Alpha-Fetoprotein, Number of Nodules, and MYC Gene Status Predicts Prognosis of Patients after Liver Resection for Hepatocellular Carcinoma

Andrea Ruzzenente1, Fabio Bagante1, Marco Sandri BS2, Corrado Pedrazzani1, Matteo Brunelli3, Tommaso Campagnaro1, Simone Conci1, Paola Capelli3, Alfredo Guglielmi1, Aldo Scarpa3 and Calogero Iacono1*

1Department of Surgery and Oncology, Division of General and Hepatobiliary Surgery, University of Verona, School of Medicine, University Hospital “GB Rossi”, Verona, Italy

2Center for Research into “Data, Methods and Systems”, University of Brescia, Brescia, Italy

3ARC-Net Research Center and Department of Pathology and Diagnostics, University of Verona, School of Medicine, University Hospital “GB Rossi”, Verona, Italy

*Corresponding Author:
Calogero Iacono
Department of Surgery and Oncology, Division of General and Hepatobiliary Surgery
University of Verona, School of Medicine, University Hospital “GB Rossi”, Italy
Tel: +39 045 8124412
Fax: +39 045 8027426
E-mail: [email protected]

Received date: April 04, 2016; Accepted date: May 10, 2016; Published date: May 18, 2016

Citation: Ruzzenente A, Bagante F, Sandri BSM, Pedrazzani C, Brunelli M, et al. (2016) Risk A Novel Prognostic Score based on Serum Alpha-Fetoprotein, Number of Nodules, and MYC Gene Status Predicts Prognosis of Patients after Liver Resection for Hepatocellular Carcinoma. J Integr Oncol 5:168. doi:10.4172/2329-6771.1000168

Copyright: © 2016 Ruzzenente A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Recurrence after liver surgery for hepatocellular carcinoma (HCC) remains the major dismal event affecting patient’s overall survival (OS). Several studies on gene signature showed an association between MYC deregulation and poor prognosis. We aimed to analyze prognostic factors, including MYC status, for disease free survival (DFS) and OS, as well as to develop a new prognostic model for HCC able to predict the patient’s prognosis. Methods: Sixty-three patients who underwent liver resection for HCC from January 2006 to December 2009 in a single division of the Department of Surgery at the University of Verona were included into this study. Predictors of DFS and OS were identified using univariate and multivariate survival analysis. The prognostic ability of our model was compared using Harrell’s c-index to current clinical staging systems (AJCC/TNM 7th ed., BCLC and CLIP). Results: Predictors of DFS, in both univariate and multivariable analysis were number of HCC, serum AFP, and MYC status; these variables were included in a nomogram to predict DFS. Patients were classified into two groups (high- and low-risk group) according to their predicted 12-month risk of recurrence. Patients in low-risk group showed a 36-month DFS of 43% compared to 0% for high-risk group. Furthermore, patients in low-risk group presented a 36-month OS of 70% compared to 15% for high-risk group. Our model was included in AJCC/TNM 7th ed., BCLC and CLIP staging systems. When reclassified with our model, CLIP presented the highest predictive ability (c-index=73%) compared to the others staging-systems. Conclusions: We developed a prognostic model for DFS after hepatectomy for HCC, based on MYC gene status and clinical features (number of nodules and AFP serum level). Our new prognostic model could have important clinical applications in selecting those patients who might have major benefits from surgical resection.

Keywords

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version