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February 19, 2026BMC Pharmacology and Toxicology0 citationsOpen Access

Exploratory identification of COL1A1 as a potential gene linking endocrine-disrupting chemicals and lung adenocarcinoma: a bioinformatics and machine learning analysis

TSTianyu SheFSFanting SunXZXie Zhen

Key Points

  • This research explores the role of COL1A1 in connecting endocrine-disrupting chemicals to lung adenocarcinoma.
  • Utilized bioinformatics approaches to analyze gene data
  • Applied machine learning techniques to identify key feature genes
  • Investigated immune cell infiltration patterns related to COL1A1
  • COL1A1 was identified as a significant gene in the context of EDC pathways
  • Characterized its role in extracellular matrix-related signaling
  • Found correlations between COL1A1 expression and immune cell infiltration patterns

Abstract

This study identifies COL1A1 as a key feature gene associated with EDC-targeted pathways in LUAD. The findings characterize its involvement in ECM-related signaling and its correlation with specific immune cell infiltration patterns, providing a computational framework for understanding EDC-associated molecular changes in LUAD.

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Cite This Study

She et al. (2026) studied this question.

synapsesocial.com/papers/6996a82decb39a600b3eea83https://doi.org/10.1186/s40360-026-01101-7
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