REVIEW article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1614731
This article is part of the Research TopicMicrobiota-Immunity Dynamics in Cancer: Mechanisms and Implications for Treatment StrategiesView all 5 articles
Dissecting the Intratumoral Microbiome Landscape in Lung Cancer
Provisionally accepted- 1Lanzhou University, Lanzhou, Gansu Province, China
- 2Qingdao University, Qingdao, China
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The discovery of microbial communities residing within tumors has unveiled a new dimension of cancer biology. In lung cancer, the intratumoral microbiome-comprising bacteria, fungi, and viruses-has emerged as a critical modulator of tumorigenesis, immune evasion, therapeutic response, and metastasis. This review comprehensively examines the landscape of the lung tumor microbiota, highlighting its mechanistic roles in shaping the tumor microenvironment, altering host immune responses, and reprogramming of cancer metabolism. We discuss the influence of specific microbial taxa on immunotherapeutic efficacy, including their interplay with immune checkpoints and pro-inflammatory signaling pathways. Moreover, we evaluate current evidence linking microbial signatures for diagnostic and prognostic applications, emphasizing their potential in biomarker discovery and precision oncology. By integrating findings from molecular epidemiology, multi-omics profiling, and preclinical models, this review provides a translational framework for leveraging the tumor-resident microbiota as both a diagnostic tool and therapeutic target in lung cancer. By understanding the microbial architecture within tumors, we may develop new microbiome-based strategies. These strategies could improve treatment outcomes and help overcome resistance to immunotherapy.
Keywords: Intratumoral microbiome, lung cancer, Tumor Microenvironment, Microbial Interactions, cancer therapy
Received: 19 Apr 2025; Accepted: 01 Jul 2025.
Copyright: © 2025 Zhao and Zhao. 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: Hai Zhao, Qingdao University, Qingdao, China
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