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微生物群通过微生物群-免疫相互作用网络调节肺腺癌中的免疫库。

Microbiota modulate immune repertories in lung adenocarcinoma via microbiota-immunity interactive network.

作者信息

Liang Peng, Chen Qianxi, Chen Xiaoping, Zhang Xiaolin, Xiao Yizhen, Liang Guangni, Liu Ming, He Jianxing, Liang Wenhua, Liang Yufeng, Chen Bo

机构信息

Center for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, China.

Department of Pulmonary and Critical Care Medicine, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, China.

出版信息

Transl Lung Cancer Res. 2024 Oct 31;13(10):2683-2697. doi: 10.21037/tlcr-24-393. Epub 2024 Oct 28.

Abstract

BACKGROUND

While the resident microbiome of tumors has been shown to be associated with the occurrence and progression of non-small cell lung cancer, there remains a significant knowledge gap in understanding the correlation between the microbial spectrum and immunity response to cancer therapy. In the case of lung adenocarcinoma (LUAD), the tumor microenvironment, encompassing a diverse array of microbes and immune cells, plays a crucial role in modulating therapeutic response. Towards comprehending the underlying mechanism, we present the microbe-immunity interactive networks to delineate the microbiota and immunity repertoires for two distinct molecular subtypes in LUAD.

METHODS

We obtained multi-omics data of LUAD patients from the publicly available database. In this study, we conducted a systematic exploration of the microbial and immunological etiology of cancer prognosis, by integrating the microbiome, genome, transcriptome, and clinic data. The mutational signature analysis, transcriptome analysis, gene set enrichment analysis, and microbiota-immunity network analysis were performed.

RESULTS

Based on the transcriptome repertories, we classified the patients into two molecular subtypes and observed that the overall survival of molecular subtype 2 (MS2) was notably shortened. We identified the microbial biomarkers in patients that distinguished between these molecular subtypes. The significant up-regulation of γδT and neutrophil in MS2, suggesting the inflammation augmentation and stimulation of γδT activation. What is more, the MS2 are characterized by a correlation network between microbiota biomarkers and γδT cell, which may contribute to suppression of anti-tumor immunity and poor overall survival.

CONCLUSIONS

Our findings not only display the repertoires of tumor microbiota and immune cells, but also elucidate the potential contribution of the microbiota-immunity correlation network to unfavorable overall survival and therapeutic resistance, thereby exerting profound implications on future LUAD therapy.

摘要

背景

虽然肿瘤的常驻微生物群已被证明与非小细胞肺癌的发生和进展相关,但在理解微生物谱与癌症治疗免疫反应之间的相关性方面仍存在重大知识空白。在肺腺癌(LUAD)中,包含多种微生物和免疫细胞的肿瘤微环境在调节治疗反应中起着关键作用。为了理解其潜在机制,我们展示了微生物-免疫相互作用网络,以描绘LUAD中两种不同分子亚型的微生物群和免疫组成。

方法

我们从公开可用的数据库中获取了LUAD患者的多组学数据。在本研究中,我们通过整合微生物组、基因组、转录组和临床数据,对癌症预后的微生物和免疫病因进行了系统探索。进行了突变特征分析、转录组分析、基因集富集分析和微生物群-免疫网络分析。

结果

基于转录组组成,我们将患者分为两种分子亚型,并观察到分子亚型2(MS2)的总生存期显著缩短。我们在患者中鉴定出区分这些分子亚型的微生物生物标志物。MS2中γδT和中性粒细胞显著上调,表明炎症增强和γδT激活受到刺激。此外,MS2的特征是微生物群生物标志物与γδT细胞之间存在相关网络,这可能导致抗肿瘤免疫抑制和总生存期较差。

结论

我们的研究结果不仅展示了肿瘤微生物群和免疫细胞的组成,还阐明了微生物群-免疫相关网络对不良总生存期和治疗耐药性的潜在贡献,从而对未来的LUAD治疗产生深远影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e769/11535827/1d5c386e0a77/tlcr-13-10-2683-f1.jpg

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