Identification of multiomics and immune infiltration-associated biomarkers for early gastric cancer: a machine learning-based diagnostic model development study

Identification of multiomics and immune infiltration-associated biomarkers for early gastric cancer: a machine learning-based diagnostic model development study

Abstract Background Gastric cancer (GC) is a leading cause of cancer-related deaths worldwide, with early diagnosis remaining a significant challenge. Available serum biomarkers lack specificity, making it difficult to accurately identify early non-metastatic GC cases. Reliable diagnostic biomarkers...

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Bibliographic Details
Main Authors: Kewei Du, Wenfei Hu, Shan Gao, Jianxin Gan, Chongge You, Shangdi Zhang
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Cancer
Subjects:
Gastric cancer
Proteomics
Machine learning
Immune infiltration
Single-cell RNA sequencing
Diagnostic model
Online Access:https://doi.org/10.1186/s12885-025-14396-2
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https://doi.org/10.1186/s12885-025-14396-2

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