基于16S rrna的胃癌诊断与预后微生物标志物研究进展

IF 5.7 2区 生物学
Yingying Wang, Xunan Qiu, Aining Chu, Jijun Chen, Lu Wang, Xiaohu Sun, Bengang Wang, Yuan Yuan, Yuehua Gong
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引用次数: 0

摘要

胃癌(Gastric cancer, GC)是世界范围内发病率和死亡率高的恶性肿瘤,迫切需要早期诊断和精准治疗。近年来,微生物群在胃癌发生和发展中的作用引起了广泛关注。特别是16S rRNA测序技术对GC相关菌群的深入研究,为探索GC患者的微生物特征提供了有价值的工具和新的视角。本文系统总结了基于16S rRNA数据的气相色谱和非气相色谱样品的微生物多样性和组成,概述了气相色谱相关微生物生物标志物的鉴定进展,探讨了诊断性微生物生物标志物影响气相色谱发展的潜在机制,并对现有研究的局限性进行了反思。通过对现有证据的整合,本综述旨在为微生物群研究在胃癌诊断和治疗中的临床转化提供新的理论基础和进一步的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Advances in 16S rRNA-Based Microbial Biomarkers for Gastric Cancer Diagnosis and Prognosis

Advances in 16S rRNA-Based Microbial Biomarkers for Gastric Cancer Diagnosis and Prognosis

Gastric cancer (GC) is a malignant tumour with high morbidity and mortality worldwide, and there is an urgent need for early diagnosis and precision treatment. In recent years, the role of microbiota in the occurrence and development of GC has drawn extensive attention. Particularly, the in-depth study of GC-related microbiota by 16S rRNA sequencing technology has offered valuable tools and new perspectives for exploring the microbial characteristics of GC patients. This review systematically summarises the microbial diversity and composition of GC and non-GC samples based on 16S rRNA data, outlines the progress in identifying GC-related microbial biomarkers, explores the potential mechanisms by which diagnostic microbial biomarkers influence the development of GC, and reflects on the limitations of present studies. By integrating the current evidence, this review intends to offer a new theoretical foundation and further direction for the clinical translation of microbiota research in the diagnosis and treatment of GC.

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来源期刊
Microbial Biotechnology
Microbial Biotechnology Immunology and Microbiology-Applied Microbiology and Biotechnology
CiteScore
11.20
自引率
3.50%
发文量
162
审稿时长
1 months
期刊介绍: Microbial Biotechnology publishes papers of original research reporting significant advances in any aspect of microbial applications, including, but not limited to biotechnologies related to: Green chemistry; Primary metabolites; Food, beverages and supplements; Secondary metabolites and natural products; Pharmaceuticals; Diagnostics; Agriculture; Bioenergy; Biomining, including oil recovery and processing; Bioremediation; Biopolymers, biomaterials; Bionanotechnology; Biosurfactants and bioemulsifiers; Compatible solutes and bioprotectants; Biosensors, monitoring systems, quantitative microbial risk assessment; Technology development; Protein engineering; Functional genomics; Metabolic engineering; Metabolic design; Systems analysis, modelling; Process engineering; Biologically-based analytical methods; Microbially-based strategies in public health; Microbially-based strategies to influence global processes
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