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September 17, 2025ACS OmegaOpen Access

Integrating Single-Cell Transcriptomic Data of Metastatic Gastric Cancer to Construct a Tumor-Associated Neutrophil Signature and Clinical Validation in MSS/pMMR Patients

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Authors

YLYao LinYSYimeng SunMLMengfang Liu

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Overview

Integrating single-cell sequencing data, this analysis identifies immune microenvironment features, suggesting significant implications for immunotherapy in MSS/pMMR patients.

Key Points

  • A six-gene prognostic risk model for metastatic gastric cancer was established, enhancing predictive capabilities.
  • Single-cell sequencing identified unique neutrophil-associated clusters, linked to distinct immune microenvironment features.
  • LASSO Cox regression and molecular docking were used to validate prognostic genes and assess targeted drug sensitivities.
  • The low-risk group showcased improved immunotherapy outcomes, emphasizing the clinical relevance of tumor-associated neutrophils.

Cite This Study

Lin et al. (2025) studied this question.

synapsesocial.com/papers/68d45e6a31b076d99fa5efefhttps://doi.org/10.1021/acsomega.5c06877
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Unveiling the role of gastric cancer-associated mesenchymal stem cells and neutrophil extracellular traps through multi-omics analysis2025
  2. 2Comprehensive analysis of the tumor immune microenvironment in gastric cancer and peritoneal metastasis based on single-cell RNA sequencing analysis2025
  3. 3Focus on M2-TAMs and gastric cancer: a Mendelian randomization and bioinformatics analysis.2026
  4. 4Integrated analysis of single-cell and bulk RNA-sequencing reveals a novel signature based on NK cell marker genes to predict prognosis and immunotherapy response in gastric cancer2024 · 10 citations
  5. 5Constructing prognostic models for colorectal cancer through dynamic profiling of tumor-associated neutrophils via single-cell and bulk RNA sequencing2024