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Int. J. Mol. Sci. 2018, 19(6), 1683; https://doi.org/10.3390/ijms19061683

Proposed Molecular and miRNA Classification of Gastric Cancer

1
Pathology, IRCCS CRO National Cancer Institute, 33081 Aviano, Italy
2
Immunopathology and Cancer Biomarkers, IRCCS CRO National Cancer Institute, 33081 Aviano, Italy
3
The University of Queensland Diamantina Institute, Translational Research Institute, Woolloongabba, QLD 4102, Australia
*
Authors to whom correspondence should be addressed.
Received: 2 May 2018 / Revised: 30 May 2018 / Accepted: 1 June 2018 / Published: 6 June 2018
(This article belongs to the Special Issue Molecular Features Distinguishing Gastric Cancer Subtypes)
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Abstract

Gastric cancer (GC) is a common malignant neoplasm worldwide and one of the main cause of cancer-related deaths. Despite some advances in therapies, long-term survival of patients with advanced disease remains poor. Different types of classification have been used to stratify patients with GC for shaping prognosis and treatment planning. Based on new knowledge of molecular pathways associated with different aspect of GC, new pathogenetic classifications for GC have been and continue to be proposed. These novel classifications create a new paradigm in the definition of cancer biology and allow the identification of relevant GC genomic subsets by using different techniques such as genomic screenings, functional studies and molecular or epigenetic characterization. An improved prognostic classification for GC is essential for the development of a proper therapy for a proper patient population. The aim of this review is to discuss the state-of-the-art on combining histological and molecular classifications of GC to give an overview of the emerging therapeutic possibilities connected to the latest discoveries regarding GC. View Full-Text
Keywords: gastric cancer; gene expression profile; gene mutation; molecular gastric cancer subtype; EBV infection; microsatellite; preclinical models; miRNA gastric cancer; gene expression profile; gene mutation; molecular gastric cancer subtype; EBV infection; microsatellite; preclinical models; miRNA
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Alessandrini, L.; Manchi, M.; De Re, V.; Dolcetti, R.; Canzonieri, V. Proposed Molecular and miRNA Classification of Gastric Cancer. Int. J. Mol. Sci. 2018, 19, 1683.

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