Progress and prospects of biomarker-based targeted therapy and immune checkpoint inhibitors in advanced gastric

Zhu Zeng1, Qing Zhu1

  • 1Department of Abdominal Oncology, West China Hospital, Sichuan University, Chengdu, China.

PubMed

Insights

Advanced gastric cancer treatments remain challenging, with limited options beyond chemotherapy for many patients. This review explores targeted therapies and biomarkers, offering insights into precision medicine for unresectable or metastatic disease.

Area of Science:

  • Oncology
  • Gastroenterology
  • Molecular Biology

Background:

  • Gastric cancer and gastroesophageal junction cancer are leading global causes of cancer death.
  • Current treatments, including immunotherapy and targeted therapy, offer limited improvement for unresectable or metastatic disease.
  • A subset of patients may benefit from specific therapies based on PD-L1, HER-2, or MSI status.

Purpose of the Study:

  • To review signaling pathways and therapeutic targets in advanced gastric cancer.
  • To discuss current clinical trial outcomes for advanced gastric cancer.
  • To analyze the efficacy and limitations of existing biomarkers in precision treatment.

Main Methods:

  • Comprehensive literature review of signaling pathways and therapeutic targets.
  • Analysis of phase II/III clinical trial data in advanced gastric cancer.
  • Evaluation of biomarker utility and limitations in treatment selection.

Main Results:

  • Specific molecular targets (PD-L1, HER-2, MSI-high) identify patient subgroups for immunotherapy and HER-2-directed therapies.
  • Conventional chemotherapy remains the primary option for patients lacking identified molecular targets.
  • Existing biomarkers show promise but have limitations in guiding treatment decisions.

Conclusions:

  • Precision treatment strategies are crucial for improving outcomes in advanced gastric cancer.
  • Further research is needed to overcome challenges and refine biomarker-driven therapeutic approaches.
  • Integrating molecular profiling into treatment algorithms is essential for personalized care.

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