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Integrative Analysis of Multiomic Pathways Predicts Cancer-Affected Lobes in Lung Cancer.

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The lung microbiome and fatty acids are linked to early-stage lung cancer. This study reveals a fatty acid-macrophage pathway as a potential biomarker and therapeutic target for lung cancer.

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Area of Science:

  • Oncology
  • Microbiome Research
  • Immunology

Background:

  • Lung cancer is a leading cause of cancer mortality.
  • The human microbiome influences cancer treatment response and outcomes.
  • Limited understanding exists regarding the lung microbiome's role in cancer.

Purpose of the Study:

  • To explore the interplay between the lung microbiome, immune factors, and metabolites in early-stage lung cancer.
  • To identify integrated microbial-immunometabolic pathways associated with lung tumors.
  • To investigate potential biomarkers and therapeutic targets for lung cancer.

Main Methods:

  • Collected bronchoalveolar lavage fluid and brushings from 20 early-stage lung cancer patients.
  • Performed microbial sequencing, untargeted metabolomics, and cytokine analysis.
  • Utilized computational and machine-learning approaches for pathway analysis and preliminary mechanistic studies.

Main Results:

  • Enrichment of pro-tumorigenic cytokines and specific fatty acids in tumor-affected lung lobes.
  • Identification of an integrated microbial-immunometabolic pathway.
  • Demonstration that long-chain fatty acid stimulation of macrophages induces neoplastic transformation of lung epithelial cells.

Conclusions:

  • A perturbed fatty acid-macrophage axis is associated with early-stage lung cancer.
  • This axis represents a potential biomarker for early lung cancer detection.
  • Findings may guide the development of novel therapeutic strategies targeting this pathway.