The intratumor microbiome and cancer immunity: from pathogenesis to therapeutic opportunities through artificial intelligence.

IF 4 3区 医学 Q2 IMMUNOLOGY
Expert Review of Clinical Immunology Pub Date : 2025-12-01 Epub Date: 2025-12-16 DOI:10.1080/1744666X.2025.2602537
Ivanna Honcharyuk, Bruna Caridi, Paola Pinco, Sara Ferri, Alessandra De Giani, Alberto Baeri, Chiara Amoroso, Sara Massironi, Federica Facciotti
{"title":"The intratumor microbiome and cancer immunity: from pathogenesis to therapeutic opportunities through artificial intelligence.","authors":"Ivanna Honcharyuk, Bruna Caridi, Paola Pinco, Sara Ferri, Alessandra De Giani, Alberto Baeri, Chiara Amoroso, Sara Massironi, Federica Facciotti","doi":"10.1080/1744666X.2025.2602537","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The intratumor microbiome is a key component of the tumor microenvironment, influencing oncogenesis, immune modulation, and therapeutic responses. Bacteria, fungi, and viruses infiltrate tumor tissues, modulating local immunity and potentially conditioning the efficacy of immune checkpoint inhibitors. While mucosal-origin tumors exhibit an expected microbial presence, sterile organ tumors, such as brain and breast, reveal less intuitive microbial infiltration.</p><p><strong>Areas covered: </strong>This review evaluated the interplay between the intratumoral microbiota and the immune system across different stages of carcinogenesis, including initiation, progression, and metastasis. Sources included PubMed, Embase, and Google Scholar; searches covered December 2024 to October 2025. We examine microbial metabolites, immune hijacking, and routes of dissemination. We also overview technologies for tumor microbiome characterization, including next-generation sequencing, spatial transcriptomics, and artificial intelligence (AI), with machine learning and deep learning, to support diagnostics, prediction of treatment response, and personalized oncology.</p><p><strong>Expert opinion: </strong>Defining the spatial localization and functions of intratumoral microorganisms is crucial for robust biomarkers and tailored interventions. Integrating AI with spatial and multi-omics data offers major opportunities but faces obstacles - data heterogeneity, model interpretability, and ethical issues. Priorities include standardized protocols, high-resolution spatial profiling, external validation, and expertly annotated datasets to unlock microbiome-informed precision oncology.</p>","PeriodicalId":12175,"journal":{"name":"Expert Review of Clinical Immunology","volume":" ","pages":"1755-1768"},"PeriodicalIF":4.0000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Clinical Immunology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/1744666X.2025.2602537","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/16 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: The intratumor microbiome is a key component of the tumor microenvironment, influencing oncogenesis, immune modulation, and therapeutic responses. Bacteria, fungi, and viruses infiltrate tumor tissues, modulating local immunity and potentially conditioning the efficacy of immune checkpoint inhibitors. While mucosal-origin tumors exhibit an expected microbial presence, sterile organ tumors, such as brain and breast, reveal less intuitive microbial infiltration.

Areas covered: This review evaluated the interplay between the intratumoral microbiota and the immune system across different stages of carcinogenesis, including initiation, progression, and metastasis. Sources included PubMed, Embase, and Google Scholar; searches covered December 2024 to October 2025. We examine microbial metabolites, immune hijacking, and routes of dissemination. We also overview technologies for tumor microbiome characterization, including next-generation sequencing, spatial transcriptomics, and artificial intelligence (AI), with machine learning and deep learning, to support diagnostics, prediction of treatment response, and personalized oncology.

Expert opinion: Defining the spatial localization and functions of intratumoral microorganisms is crucial for robust biomarkers and tailored interventions. Integrating AI with spatial and multi-omics data offers major opportunities but faces obstacles - data heterogeneity, model interpretability, and ethical issues. Priorities include standardized protocols, high-resolution spatial profiling, external validation, and expertly annotated datasets to unlock microbiome-informed precision oncology.

肿瘤内微生物组和癌症免疫:通过人工智能从发病机制到治疗机会。
肿瘤内微生物群是肿瘤微环境的关键组成部分,影响肿瘤发生、免疫调节和治疗反应。细菌、真菌和病毒浸润肿瘤组织,调节局部免疫,并可能调节免疫检查点抑制剂的功效。虽然粘膜源性肿瘤表现出预期的微生物存在,但无菌器官肿瘤,如脑和乳腺,显示出较少直观的微生物浸润。涵盖领域:本综述评估了肿瘤内微生物群和免疫系统在癌变的不同阶段之间的相互作用,包括癌变的起始、进展和转移。来源包括PubMed, Embase和谷歌Scholar;搜索范围从2024年12月到2025年10月。我们研究了微生物代谢物、免疫劫持和传播途径。我们还概述了肿瘤微生物组表征技术,包括下一代测序、空间转录组学和人工智能(AI),以及机器学习和深度学习,以支持诊断、治疗反应预测和个性化肿瘤。专家意见:确定肿瘤内微生物的空间定位和功能对于强有力的生物标志物和量身定制的干预措施至关重要。将人工智能与空间和多组学数据集成提供了重大机遇,但也面临着障碍——数据异质性、模型可解释性和伦理问题。优先事项包括标准化协议、高分辨率空间分析、外部验证和专业注释数据集,以解锁微生物组信息的精确肿瘤学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.60
自引率
2.30%
发文量
221
审稿时长
6-12 weeks
期刊介绍: Expert Review of Clinical Immunology (ISSN 1744-666X) provides expert analysis and commentary regarding the performance of new therapeutic and diagnostic modalities in clinical immunology. Members of the International Editorial Advisory Panel of Expert Review of Clinical Immunology are the forefront of their area of expertise. This panel works with our dedicated editorial team to identify the most important and topical review themes and the corresponding expert(s) most appropriate to provide commentary and analysis. All articles are subject to rigorous peer-review, and the finished reviews provide an essential contribution to decision-making in clinical immunology. Articles focus on the following key areas: • Therapeutic overviews of specific immunologic disorders highlighting optimal therapy and prospects for new medicines • Performance and benefits of newly approved therapeutic agents • New diagnostic approaches • Screening and patient stratification • Pharmacoeconomic studies • New therapeutic indications for existing therapies • Adverse effects, occurrence and reduction • Prospects for medicines in late-stage trials approaching regulatory approval • Novel treatment strategies • Epidemiological studies • Commentary and comparison of treatment guidelines Topics include infection and immunity, inflammation, host defense mechanisms, congenital and acquired immunodeficiencies, anaphylaxis and allergy, systemic immune diseases, organ-specific inflammatory diseases, transplantation immunology, endocrinology and diabetes, cancer immunology, neuroimmunology and hematological diseases.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书