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Updated: Jul 9, 2026

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
10:28

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT

Published on: January 22, 2018

Innovative genomic-based model for personalized treatment of gastric cancer: integrating current standards and new

Dimitrios H Roukos1

  • 1Surgical Oncology Research Unit, Department of Surgery, Ioannina University School of Medicine, GR 451 10 Ioannina, Greece. droukos@cc.uoi.gr

Expert Review of Molecular Diagnostics
|December 20, 2007
PubMed

Insights

Understanding cancer signaling pathways improves gastric cancer treatment. This review integrates network biology and cancer stem cells for personalized treatment strategies and novel biomarkers.

Area of Science:

  • Oncology
  • Network Biology
  • Cancer Genomics

Background:

  • Gastric cancer prognosis remains poor, with current treatments based on tumor-node-metastasis (TNM) staging being suboptimal.
  • Network biology offers insights into the complexity of signaling pathways in cancer development and metastasis.
  • Cancer stem cells play a crucial role in tumor progression and treatment resistance.

Purpose of the Study:

  • To propose a novel treatment model for individualizing gastric cancer therapy by integrating network biology and cancer stem cell concepts.
  • To identify key genes and environmental factors driving gastric cancer metastasis for biomarker and targeted agent development.
  • To provide a comprehensive algorithm for optimizing preoperative or postoperative combination therapies.

Main Methods:

  • Literature review integrating concepts of network biology, cancer stem cells, and metastatic steps.
  • Discussion of high-throughput technologies including omics, resequencing, genome-wide association studies, and RNA interference (RNAi).
  • Development of a bench-to-bedside treatment-guided algorithm.

Main Results:

  • Identification of critical genes and their interactions with environmental factors (e.g., Helicobacter pylori) orchestrating metastatic steps.
  • Potential for developing novel biomarkers and targeted therapeutic agents through profiling key genes and pathways.
  • A proposed treatment algorithm for combining cytotoxic and targeted agents for gastric cancer.

Conclusions:

  • A network biology and cancer stem cell-integrated approach can significantly improve gastric cancer treatment strategies.
  • Profiling key genes and their interactions is crucial for developing personalized medicine and novel therapies.
  • The proposed treatment algorithm offers a framework for optimizing combination therapies applicable to various solid tumors.

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