Molecular classification and precision therapy in gastric cancer: Current advances and future perspectives (Review)

Shujing Xia1, Xiumei Zhang2, Lizhong Tang3

  • 1Department of Gastroenterology, Yancheng TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, Jiangsu 224001, P.R. China.

Oncology Reports
|August 21, 2026
PubMed

Insights

Molecular classifications for gastric cancer (GC) advance therapies but face obstacles. This review compares systems, dissects resistance mechanisms, and proposes dynamic, multi-dimensional integration for precision medicine.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Research

Background:

  • Molecular classifications like TCGA and ACRG have improved gastric cancer (GC) targeted and immunotherapies.
  • Clinical translation of these classifications faces real-world challenges: cost, tissue availability, standardization, and tumor heterogeneity.

Purpose of the Study:

  • Critically compare TCGA and ACRG classification systems for prognostic utility and geographic applicability.
  • Systematically dissect mechanisms of acquired resistance to anti-HER2 therapies and immune checkpoint inhibitors (ICIs).
  • Highlight the role of non-immune tumor microenvironment factors and propose integrated therapeutic strategies for gastric cancer.

Main Methods:

  • Comparative analysis of TCGA and ACRG classification systems.
  • Systematic review of literature on resistance mechanisms to anti-HER2 therapies and ICIs.
  • Analysis of non-immune tumor microenvironment components (e.g., cancer-associated fibroblasts, metabolic reprogramming).

Main Results:

  • ACRG classification shows greater operability in East Asian populations, while TCGA is better for mechanistic studies.
  • Acquired resistance to anti-HER2 therapies and ICIs involves complex mechanisms.
  • Non-immune factors like cancer-associated fibroblasts and metabolic reprogramming significantly impact treatment efficacy.

Conclusions:

  • Moving beyond static subtyping, dynamic, multi-dimensional integration of omics data is crucial for advancing gastric cancer precision therapy.
  • Liquid biopsy-driven adaptive therapy and microenvironment intervention are promising future directions.
  • Addressing resistance mechanisms and tumor microenvironment is key for effective precision medicine in gastric cancer.

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