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September 19, 2025Open Access

Integrated Analysis of Glycosylation and Inflammation-Related Genes for Prognostic Risk Modeling and Immunotherapy Response Prediction in Gastric Cancer

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Authors

ZLZihao LiMAMusthaq AhmedTXTao Xu

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Overview

Analysis uncovers a glycosylation and inflammation-related gene signature, indicating its role in prognostic predictions for gastric cancer.

Key Points

  • The identified six-gene signature predicts overall survival differences between high-risk and low-risk groups, revealing its prognostic value.
  • This model integrated glycosylation and inflammation-related genes, improving the understanding of immune escape mechanisms in gastric cancer patients.
  • Cox regression analysis and LASSO were utilized to develop this prognostic gene signature based on clinical data from multiple datasets.
  • Findings suggest implications for personalized treatment approaches, emphasizing the importance of understanding immune infiltration and therapeutic sensitivity.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68d437f7713b0b5dfea77a05https://doi.org/10.1101/2025.09.15.676447
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