REVIEW article
Front. Immunol.
Sec. Mucosal Immunity
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1638942
This article is part of the Research TopicImmunomodulatory Role of Microbiota in Inflammation and CancerView all 3 articles
Gut Microbiota and Metabolites: Emerging Prospects in the Treatment of Non-Small Cell Lung Cancer
Provisionally accepted
- Department of Oncology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
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Non-small cell lung cancer (NSCLC) is the most prevalent form of lung cancer, accounting for approximately 85% of all cases, and is associated with a poor prognosis. Despite significant advancements in treatment modalities, therapeutic efficacy remains suboptimal, underscoring the urgent need for novel strategies. In recent years, increasing attention has been directed toward the pivotal role of gut microbiota-host interactions in the treatment of NSCLC. This review systematically examines the influence of current NSCLC therapies on gut microbiota and metabolism, explores the relationship between the microbiome and therapeutic response, and highlights the critical functions of probiotics, microbial metabolites, fecal microbiota transplantation (FMT), and dietary interventions in NSCLC management. By elucidating the mechanisms through which gut microbiota and their metabolites modulate treatment efficacy, we investigate the potential of exogenous interventions targeting the gut ecosystem to enhance therapeutic outcomes and mitigate adverse effects. Modulating the intestinal microbiota represents a promising clinical avenue and offers a new frontier for the development of future NSCLC treatment strategies.
Keywords: Non-small cell lung cancer (NSCLC), Gut Microbiota, Metabolites, Treatment, prognosis
Received: 31 May 2025; Accepted: 22 Oct 2025.
Copyright: © 2025 Jiao, Liu, Zang and Chen. 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: Jun Chen, chenjun_dmu@126.com
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