Jing, Zhuang
Zheng, Wu
Jianwen, Song
Hong, Shen
Xiaojian, Yu
Qiang, Wei
Yunfeng, Yin
Xinyue, Wu
Shuwen, Han
Feimin, Zhao
Funding for this research was provided by:
Zhejiang Medical and Health Technology Project (No.2023KY1178, No.2023KY1178)
China University Industry University Research Innovation Fund (No.2023HT078, No.2023HT078)
PublicWelfare Technology Application Research Program of Huzhou (No. 2023GY18, No. 2023GY18)
Article History
Received: 7 April 2024
Accepted: 8 July 2024
First Online: 18 July 2024
Declarations
:
: The clinical protocols, involving the patients and the informed consent form, were approved by the Chinese Clinical Trial Registry (, ChiCTR2000034061) and Ethics Committee of Huzhou Central Hospital (no. 20191101-01). All participants provided written informed consent. All methods were performed in accordance with the relevant guidelines and regulations in ethics approval and consent to participate.
: Not applicable.
: The datasets generated for this study can be accessed from the NCBI database (). The authors confirm that all supporting data, code, and protocols have been provided within the article or through supplementary data files.
: There is growing evidence that AAs are at increased risk of advanced tumors. The occurrence and development of advanced adenomas are related to many factors, among which environmental factors (including the role of gut microbes) are the most prominent. In this study, we analyzed the gut microbial characteristic of AA, established a new typing method based on bacteria and viruses, and obtained 4 types of AA. Finally, the accuracy of AA prediction was improved by typing. It provides a novel idea for establishing predictive models using characteristic microbes.
: The authors declare no competing interests.