联合肿瘤相关微生物组和免疫基因表达谱预测局部晚期直肠癌对新辅助化疗的反应。

IF 6.5 2区 医学 Q1 IMMUNOLOGY
Oncoimmunology Pub Date : 2025-12-01 Epub Date: 2025-02-24 DOI:10.1080/2162402X.2025.2465015
Raffaello Roesel, Francesco Strati, Camilla Basso, Samantha Epistolio, Paolo Spina, Julija Djordjevic, Elisa Sorrenti, Martina Villa, Agnese Cianfarani, Francesco Mongelli, Jacopo Galafassi, Sotirios G Popeskou, Federica Facciotti, Cecilia Caprera, Federica Melle, Pietro Edoardo Majno-Hurst, Alessandra Franzetti-Pellanda, Sara De Dosso, Ferdinando Bonfiglio, Milo Frattini, Dimitrios Christoforidis, Giandomenica Iezzi
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引用次数: 0

摘要

局部晚期直肠癌(LARC)的治疗采用新辅助化疗放疗(nCRT),随后进行手术。少数患者对nCRT表现出完全缓解(CR),可以避免手术及其功能后果。相反,大多数患者表现出非完全缓解(non-CR),并可能受益于额外的治疗来增加CR率。目前缺乏可靠的预测指标。本研究的目的是识别预测nCRT反应性的新特征。我们对70例接受非crt直肠切除术的患者的肿瘤相关微生物组和免疫基因表达谱进行了综合分析,其中包括16例CR和54例非CR。研究结果由49例患者的独立队列验证,其中7例CR和42例非CR。CR组和非CR组瘤内微生物群在属和种水平上存在显著差异。Ruminococcus属细菌的定植与CR一致相关,而Fusobacterium、Porhpyromonas和Oscillibacter属细菌的丰度预测非CR。免疫基因分析揭示了一组59个差异表达的基因,并在CR患者中显著上调ifn - γ和- α反应。综合微生物组和免疫基因分析揭示了微生物分类群彼此之间以及与免疫细胞相关基因之间的聚类,并允许识别一个组合标记,正确识别两个队列中的非crs。因此,联合肿瘤内微生物组免疫分析提高了对nCRT反应的预测。正确识别无反应的患者和促进反应的细菌可能会导致基于肠道微生物群预处理的创新治疗方法,以提高nCRT在LARC中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combined tumor-associated microbiome and immune gene expression profiling predict response to neoadjuvant chemo-radiotherapy in locally advanced rectal cancer.

Locally advanced rectal cancer (LARC) is treated with neoadjuvant chemo-radiotherapy (nCRT) followed by surgery. A minority of patients show complete response (CR) to nCRT and may avoid surgery and its functional consequences. Instead, most patients show non-complete response (non-CR) and may benefit from additional treatments to increase CR rates. Reliable predictive markers are lacking. Aim of this study was to identify novel signatures predicting nCRT responsiveness. We performed a combined analysis of tumor-associated microbiome and immune gene expression profiling of diagnostic biopsies from 70 patients undergoing nCRT followed by rectal resection, including 16 with CR and 54 with non-CR. Findings were validated by an independent cohort of 49 patients, including 7 with CR and 42 with non-CR. Intratumoral microbiota significantly differed between CR and non-CR groups at genus and species level. Colonization by bacterial species of Ruminococcus genera was consistently associated with CR, whereas abundance of Fusobacterium, Porhpyromonas, and Oscillibacter species predicted non-CR. Immune gene profiling revealed a panel of 59 differentially expressed genes and significant upregulation of IFN-gamma and -alpha response in patients with CR. Integrated microbiome and immune gene profiling analysis unraveled clustering of microbial taxa with each other and with immune cell-related genes and allowed the identification of a combined signature correctly identifying non-CRS in both cohorts. Thus, combined intratumoral microbiome-immune profiling improves the prediction of response to nCRT. Correct identification of unresponsive patients and of bacteria promoting responsiveness might lead to innovative therapeutic approaches based on gut microbiota pre-conditioning to increase nCRT effectiveness in LARC.

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来源期刊
Oncoimmunology
Oncoimmunology ONCOLOGYIMMUNOLOGY-IMMUNOLOGY
CiteScore
12.50
自引率
2.80%
发文量
276
审稿时长
24 weeks
期刊介绍: OncoImmunology is a dynamic, high-profile, open access journal that comprehensively covers tumor immunology and immunotherapy. As cancer immunotherapy advances, OncoImmunology is committed to publishing top-tier research encompassing all facets of basic and applied tumor immunology. The journal covers a wide range of topics, including: -Basic and translational studies in immunology of both solid and hematological malignancies -Inflammation, innate and acquired immune responses against cancer -Mechanisms of cancer immunoediting and immune evasion -Modern immunotherapies, including immunomodulators, immune checkpoint inhibitors, T-cell, NK-cell, and macrophage engagers, and CAR T cells -Immunological effects of conventional anticancer therapies.
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