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Updated: Aug 22, 2026

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
Published on: January 22, 2018
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.
Abstract:
The emergence of molecular classifications for gastric cancer (GC), The Cancer Genome Atlas (TCGA) and Asian Cancer Research Group (ACRG), has advanced targeted and immunotherapies, but their clinical translation faces real‑world obstacles including high cost, tissue availability, standardization, and intratumoral heterogeneity. The present review critically compares the two classification systems regarding prognostic utility across geographic populations and boundary conflicts, noting that ACRG is more operable in East Asian populations whereas TCGA is better suited for mechanistic exploration. Focusing on acquired resistance as a core bottleneck in precision therapy, mechanisms underlying anti‑Human Epidermal Growth Factor Receptor 2 (HER2) resistance and primary/secondary resistance to immune checkpoint inhibitors (ICIs) were systematically dissected, while also addressing immune‑related adverse events and pseudo‑/hyperprogression. Moreover, non‑immune elements of the tumor microenvironment deserve attention: Cancer‑associated fibroblasts limit drug penetration and promote epithelial‑mesenchymal transition through physical barriers and paracrine signaling; metabolic reprogramming (high glycolysis and glutamine addiction) impairs chemotherapy and ICI efficacy via an acidic microenvironment and metabolic competition. Finally, multi‑target combination strategies are envisioned based on pathway redundancy, along with liquid biopsy‑driven dynamic adaptive therapy and single‑cell/spatial multi‑omics integration for precise microenvironment intervention. The present review aims to offer a systematic reference for moving GC precision therapy from static subtyping toward dynamic, multi‑dimensional integration.
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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