Gastric Cancer: Molecular Pathways and Candidate Biomarkers 5.0

Dear Colleagues,

This Special Issue is the continuation of our previous issues on related topics, namely "Molecular Features Distinguishing Gastric Cancer Subtypes", "Molecular Pathways and Candidate Biomarkers", "Gastric Cancers: Molecular Pathways and Candidate Biomarkers 3.0" and "Gastric Cancers: Molecular Pathways and Candidate Biomarkers 4.0".

Although there has been progress in the treatment of gastric cancer and a worldwide decline in its pathology, gastric cancer remains a disease characterized by uncontrolled growth and high mortality, which is mostly due to a delay in diagnosis. The epidemiology of gastric cancer has changed in the last 25 years, with a decline in the intestinal type and stomach antral localization but an increase in presence in young people and in the diffuse type. In recent decades, the introduction of high-throughput technologies that are able to analyse several gastric cancers from small biological samples has caused significant advances in the development of biomarkers in oncology. Molecular pathways and biomarkers molecules are potentially useful for GC diagnosis because they increase the accuracy of diagnosis (e.g., the nanomolecule used in confocal laser endomicroscopy) and can be used to select patients at risk for GC at an early stage (e.g., ABC pepsinogen test in japan) and also to propose new GC classifications (e.g., TCAG, ACRG). This research has produced important results that enable us to better understand gastric cancer pathogenesis and individualized important targetable molecules used to achieve novel drug targets and new treatment strategies in advanced gastric cancer. Target therapies are now ongoing, with moderate benefits seen in some subsets of gastric cancer papers, and several trials are underway to achieve an increase in the survival benefit of patients with gastric cancer. The aim of this Special Issue is to provide new findings regarding molecular pathways and biomarkers that could improve the diagnosis and/or the prognostic classification of gastric cancer, and to resume their potential application in GC detection and classification, or in clinics.

Dr. Valli De Re
Guest Editor

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