Suppr超能文献

肿瘤内微生物组随肿瘤分期变化,并影响口腔鳞状细胞癌的免疫特征。

Intratumoral Microbiota Changes with Tumor Stage and Influences the Immune Signature of Oral Squamous Cell Carcinoma.

机构信息

Immunology Laboratory, Council for Scientific and Industrial Research-Institute of Microbial Technology, Chandigarh, India.

Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

出版信息

Microbiol Spectr. 2023 Aug 17;11(4):e0459622. doi: 10.1128/spectrum.04596-22. Epub 2023 Jul 6.

Abstract

Characterization of the oral microbiota profile through various studies has shown an association between the microbiome and oral cancer; however, stage-specific determinants of dynamic changes in microbial communities of oral cancer remain elusive. Additionally, the influence of the intratumoral microbiota on the intratumoral immune system remains largely unexplored. Therefore, this study aims to stratify microbial abundance in the early-onset and subsequent stages of oral cancer and analyze their influence on clinical-pathological and immunological features. The microbiome composition of tissue biopsy samples was identified using 16S rRNA amplicon sequencing, while intratumoral and systemic immune profiling was done with flow cytometry and immunohistochemistry-based analysis. The bacterial composition differed significantly among precancer, early cancer, and late cancer stages with the enrichment of genera , , and Treponema in the cancer group, while Streptococcus and were enriched in the precancer group. Late cancer stages were significantly associated with with high predicting accuracy, while was associated with early stages of cancer. A dense intermicrobial and microbiome-immune network was observed in the precancer group. At the cellular level, intratumoral immune cell infiltration of B cells and T cells (CD4 and CD8) was observed with enrichment of the effector memory phenotype. Naive and effector subsets of tumor-infiltrating lymphocytes (TILs) and related gene expression were found to be distinctly associated with bacterial communities; most importantly, highly abundant bacterial genera of the tumor microenvironment were either negatively correlated or not associated with the effector lymphocytes, which led to the conclusion that the tumor microenvironment favors an immunosuppressive and nonimmunogenic microbiota. The gut microbiome has been explored extensively for its importance in the modulation of systemic inflammation and immune response; in contrast, the intratumoral microbiome is less studied for its influence on immunity in cancer. Given the established correlation between intratumoral lymphocyte infiltration and patient survival in cases of solid tumors, it was pertinent to explore the extrinsic factor influencing immune cell infiltration in the tumor. Modulation of intratumoral microbiota could have a beneficial effect on the antitumor immune response. This study stratifies the microbial profile of oral squamous cell carcinoma starting from precancer to late-stage cancer and provides evidence for their immunomodulatory role in the tumor microenvironment. Our results suggest combining microbiome study with immunological signatures of tumors for their prognostic and diagnostic application.

摘要

通过各种研究对口腔微生物组谱进行分析表明,微生物组与口腔癌之间存在关联;然而,口腔癌微生物群落动态变化的特定阶段决定因素仍难以捉摸。此外,肿瘤内微生物群对肿瘤内免疫系统的影响在很大程度上仍未得到探索。因此,本研究旨在对口腔癌早发和后续阶段的微生物丰度进行分层,并分析其对临床病理和免疫特征的影响。通过 16S rRNA 扩增子测序鉴定组织活检样本的微生物组组成,同时通过流式细胞术和基于免疫组化的分析进行肿瘤内和全身免疫分析。在癌前、早期癌和晚期癌阶段,细菌组成存在显著差异,癌症组中属 、 和 Treponema 丰度增加,而癌前组中丰度增加。晚期癌症阶段与 显著相关,具有较高的预测准确性,而 与癌症的早期阶段相关。在癌前组中观察到密集的微生物间和微生物组-免疫网络。在细胞水平上,观察到 B 细胞和 T 细胞(CD4 和 CD8)的肿瘤内免疫细胞浸润,并富集了效应记忆表型。发现肿瘤浸润淋巴细胞(TIL)的幼稚和效应亚群以及相关基因表达与细菌群落明显相关;最重要的是,肿瘤微环境中高度丰富的细菌属与效应淋巴细胞呈负相关或不相关,这得出结论,肿瘤微环境有利于免疫抑制和非免疫原性的微生物群。肠道微生物组因其在调节系统炎症和免疫反应中的重要性而得到广泛探索;相反,肿瘤内微生物组因其对癌症中免疫的影响而研究较少。鉴于在实体瘤中,肿瘤内淋巴细胞浸润与患者生存之间存在已确立的相关性,因此探索影响肿瘤中免疫细胞浸润的外在因素非常重要。调节肿瘤内微生物组可能对肿瘤的抗肿瘤免疫反应产生有益影响。本研究对口腔鳞状细胞癌从癌前到晚期癌症的微生物谱进行分层,并为其在肿瘤微环境中的免疫调节作用提供证据。我们的研究结果表明,将微生物组研究与肿瘤的免疫特征相结合,可用于其预后和诊断应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f06/10434029/85e79a6dd159/spectrum.04596-22-f001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验