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ORIGINAL RESEARCH article

Front. Med.

Sec. Pulmonary Medicine

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1576375

Molecular Signatures Bidirectionally Link Myocardial Infarction and Lung Cancer

Provisionally accepted
  • 1 SRM Institutes for Medical Science, SRM University, Chennai, India
  • 2 National Cancer Institute Bethesda, Bethesda, Illinois, United States

The final, formatted version of the article will be published soon.

    Myocardial Infarction (MI) and lung cancers substantially contribute to mortality worldwide. While seemingly diverse, the two share common risk factors such as smoking and hypertension. There is a pressing need to identify bidirectional molecular signatures linking MI and lung cancer relationship to improve the patient clinical outcomes. Here, we identified common differentially expressed genes between MI and lung cancer. We identified 1496 upregulated and 1482 downregulated genes in MI datasets and based on the 1000 most upregulated and downregulated genes in LUAD and LUSC, we identified 35 genes common across MI, LUAD, and LUSC. Functional enrichment revealed shared biological processes like "inflammatory response", and "cell differentiation". Cox hazard proportional model shows significant association of the shared genes with overall survival of lung cancer patients, as well as with smoking history in lung cancer patients. In addition, machine learning model based on shared genes' expression distinguished MI patients from controls with an AUROC of 0.72 and AUPRC of 0.86. Lastly, based on drug repurposing analysis, we proposed FDA-approved drugs potentially targeting the upregulated genes, as novel therapeutic options for the co-occurring conditions of MI and lung cancer. Overall, our findings highlight the similarities in molecular makeup between lung cancer and MI.

    Keywords: Myocardial Infarction, lung cancer, survival analysis, machine learning, drug repurposing

    Received: 14 Feb 2025; Accepted: 21 Mar 2025.

    Copyright: © 2025 Nandi, Janardhanan, Hannenhalli and Agrawal. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Sridhar Hannenhalli, National Cancer Institute Bethesda, Bethesda, 20892, Illinois, United States
    Piyush Agrawal, SRM Institutes for Medical Science, SRM University, Chennai, India

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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