REVIEW article

Front. Oncol.

Sec. Molecular and Cellular Oncology

Volume 15 - 2025 | doi: 10.3389/fonc.2025.1578927

“Molecular Pigeon” Network of lncRNA and miRNA: Decoding Metabolic Reprogramming in Patients with Lung Cancer

Provisionally accepted
  • Hunan University of Chinese Medicine, Changsha, China

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

In recent years, with the advancement of RNA analysis techniques, such as single-cell RNA sequencing, noncoding RNAs have demonstrated substantial potential in regulating gene expression, encoding peptides and proteins, constructing the cellular microenvironment, and modulating cell function. They can serve as potential therapeutic targets and diagnostic markers for various diseases, offering novel avenues for diagnosis and treatment. Among them, long noncoding RNAs (lncRNAs) represent a principal component. Through the competing endogenous RNA mechanism, lncRNAs sequester microRNAs (miRNAs), interact with metabolic enzymes or transcription factors, regulate gene expression, and participate in the metabolic communication network within the tumor microenvironment. This process significantly promotes the growth, proliferation, and metastasis of lung cancer cells by reprogramming core metabolic pathways—including glucose utilization, lipid homeostasis, and amino acid flux. This article reviews the key roles of lncRNAs and miRNAs in the metabolic reprogramming of patients with lung cancer, elucidates the complex lncRNA–miRNA network involved, and provides mechanistic insights into metabolic vulnerabilities and translational opportunities for targeted interventions in the diagnosis and treatment of lung cancer.

Keywords: lncRNA, miRNA, metabolic reprogramming, NSCLC, lung cancer

Received: 18 Feb 2025; Accepted: 20 Jun 2025.

Copyright: © 2025 Li. 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: Mingxiao Li, Hunan University of Chinese Medicine, Changsha, China

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