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

ABSTRACT 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...

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Main Authors: Yingying Wang, Xunan Qiu, Aining Chu, Jijun Chen, Lu Wang, Xiaohu Sun, Bengang Wang, Yuan Yuan, Yuehua Gong
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:Microbial Biotechnology
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Online Access:https://doi.org/10.1111/1751-7915.70115
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author Yingying Wang
Xunan Qiu
Aining Chu
Jijun Chen
Lu Wang
Xiaohu Sun
Bengang Wang
Yuan Yuan
Yuehua Gong
author_facet Yingying Wang
Xunan Qiu
Aining Chu
Jijun Chen
Lu Wang
Xiaohu Sun
Bengang Wang
Yuan Yuan
Yuehua Gong
author_sort Yingying Wang
collection DOAJ
description ABSTRACT 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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issn 1751-7915
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series Microbial Biotechnology
spelling doaj-art-0806af7e5da84743860c5b64e843202f2025-08-20T03:07:17ZengWileyMicrobial Biotechnology1751-79152025-02-01182n/an/a10.1111/1751-7915.70115Advances in 16S rRNA‐Based Microbial Biomarkers for Gastric Cancer Diagnosis and PrognosisYingying Wang0Xunan Qiu1Aining Chu2Jijun Chen3Lu Wang4Xiaohu Sun5Bengang Wang6Yuan Yuan7Yuehua Gong8Tumor Etiology and Screening Department of Cancer Institute and General Surgery The First Hospital of China Medical University Shenyang ChinaTumor Etiology and Screening Department of Cancer Institute and General Surgery The First Hospital of China Medical University Shenyang ChinaTumor Etiology and Screening Department of Cancer Institute and General Surgery The First Hospital of China Medical University Shenyang ChinaTumor Etiology and Screening Department of Cancer Institute and General Surgery The First Hospital of China Medical University Shenyang ChinaTumor Etiology and Screening Department of Cancer Institute and General Surgery The First Hospital of China Medical University Shenyang ChinaTumor Etiology and Screening Department of Cancer Institute and General Surgery The First Hospital of China Medical University Shenyang ChinaTumor Etiology and Screening Department of Cancer Institute and General Surgery The First Hospital of China Medical University Shenyang ChinaTumor Etiology and Screening Department of Cancer Institute and General Surgery The First Hospital of China Medical University Shenyang ChinaTumor Etiology and Screening Department of Cancer Institute and General Surgery The First Hospital of China Medical University Shenyang ChinaABSTRACT 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.https://doi.org/10.1111/1751-7915.7011516S rRNA gene sequencingclinical applicationgastric cancermicrobial biomarkersmicrobiota
spellingShingle Yingying Wang
Xunan Qiu
Aining Chu
Jijun Chen
Lu Wang
Xiaohu Sun
Bengang Wang
Yuan Yuan
Yuehua Gong
Advances in 16S rRNA‐Based Microbial Biomarkers for Gastric Cancer Diagnosis and Prognosis
Microbial Biotechnology
16S rRNA gene sequencing
clinical application
gastric cancer
microbial biomarkers
microbiota
title Advances in 16S rRNA‐Based Microbial Biomarkers for Gastric Cancer Diagnosis and Prognosis
title_full Advances in 16S rRNA‐Based Microbial Biomarkers for Gastric Cancer Diagnosis and Prognosis
title_fullStr Advances in 16S rRNA‐Based Microbial Biomarkers for Gastric Cancer Diagnosis and Prognosis
title_full_unstemmed Advances in 16S rRNA‐Based Microbial Biomarkers for Gastric Cancer Diagnosis and Prognosis
title_short Advances in 16S rRNA‐Based Microbial Biomarkers for Gastric Cancer Diagnosis and Prognosis
title_sort advances in 16s rrna based microbial biomarkers for gastric cancer diagnosis and prognosis
topic 16S rRNA gene sequencing
clinical application
gastric cancer
microbial biomarkers
microbiota
url https://doi.org/10.1111/1751-7915.70115
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