Multi-omics characterization of molecular features of gastric cancer correlated with response to neoadjuvant

Ziyu Li1, Xiangyu Gao1, Xinxin Peng2

  • 1Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing 100142, China.

Science Advances
|March 6, 2020
PubMed

Insights

Biomarkers for gastric cancer neoadjuvant chemotherapy are lacking. This study identifies genetic markers like C10orf71 mutations linked to resistance, and MYC/MDM2 amplifications affecting response, paving the way for precision medicine.

Area of Science:

  • Oncology
  • Genomics
  • Cancer Research

Background:

  • Neoadjuvant chemotherapy is crucial for gastric cancer but underused due to a lack of patient selection biomarkers and resistance understanding.
  • Identifying predictive biomarkers is essential to optimize neoadjuvant chemotherapy efficacy in gastric cancer patients.

Purpose of the Study:

  • To identify genomic biomarkers associated with response and resistance to neoadjuvant chemotherapy in gastric cancer.
  • To explore the impact of neoadjuvant chemotherapy on tumor genetics and the tumor microenvironment.

Main Methods:

  • Whole-genome, whole-exome, and RNA sequencing were performed on 84 clinical samples from 35 gastric cancer patients.
  • Tumor samples included matched pre- and posttreatment specimens, with patient responses rigorously defined.

Main Results:

  • Nonresponse tumors showed increased microsatellite instability and mutation burden.
  • C10orf71 mutations were linked to treatment resistance; MYC amplification correlated with sensitivity, while MDM2 amplification indicated resistance.
  • Neoadjuvant chemotherapy altered tumor-immune signaling and the microenvironment.

Conclusions:

  • Genomic alterations, including C10orf71 mutations and MYC/MDM2 amplifications, serve as potential biomarkers for predicting neoadjuvant chemotherapy response in gastric cancer.
  • Understanding these genetic drivers and treatment-induced microenvironmental changes is key for developing personalized neoadjuvant treatment strategies.

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