肠道微生物群和前列腺癌:不同临床情况下的细菌群落分析。

M. Carballo Quintá , S. Perez Castro , A. Freire Rodriguez , C. Daviña Nuñez , A. Bellas Pereira , J.J. Cabrera Alvargonzalez , M. Perez Schoch , C.A. Muller Arteaga , J.F. Sanchez Garcia , E. Cespón Outeda , E. Lopez Diez
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引用次数: 0

摘要

前言和目的:肠道微生物群(GM)包括与多种疾病相关的多种细菌群落。新的研究表明,基因失调可能影响前列腺癌(PC)的进展及其对治疗的反应。本研究旨在描述不同疾病阶段PC患者的GM。材料和方法:一项横断面研究于2023年至2024年在维戈大学综合医院进行。49例患者分为主动监测组(AS)、无病后治疗组(DF)和晚期疾病组(AD)。取粪便样本进行转基因分析,采用DNA进行16S rRNA测序。通过α和β多样性分析研究了微生物群落结构,并用LinDA模型测量了差异丰度。结果:α多样性分析显示,AS患者和雄激素受体通路抑制剂(ARPI)治疗组的分类群丰富度降低。β多样性分析表明,治疗组、放疗、激素治疗和ARPI均有实质性变化。与DF组相比,AD组潜在有利细菌(Methanobrevibacter, Paraprevotella, Colidextribacter)的数量减少,而恐怖杆菌和链球菌的丰度升高。AS组显示无肠杆菌、克氏Adlercreutzia、Subdoligranulum和methanobrebacter减少,Fusicatenibacter、Lachnospiraceae和Lachnoclostridium增加。结论:与严重疾病患者或积极监测的患者相比,治疗后保持无疾病的患者恢复了丰富的潜在有益菌菌群。这项研究表明,肠道微生物组特征可以帮助评估前列腺癌的风险,并作为可能的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gut microbiota and prostate cancer: An analysis of bacterial communities across various clinical scenarios

Introduction and objectives

Gut microbiota (GM) comprises a diverse community of bacteria associated with a wide range of diseases. Emerging research indicates that GM dysbiosis may affect the progression of prostate cancer (PC) and its response to treatment. This study aimed to describe GM in patients with PC at various disease stages.

Materials and methods

A cross-sectional study was conducted at Complejo Hospitalario Universitario de Vigo between 2023 and 2024. 49 patientes were classified into three groups: active surveillance (AS), disease-free post-treatment (DF) and advanced disease (AD). Faecal samples were obtained for GM analysis and DNA was used for 16S rRNA sequencing. The structure of the microbial community was examined via alpha and beta diversity analysis, and differential abundance was measured using the LinDA model.

Results

Alpha diversity analysis revealed diminished taxon richness in patients under AS and in those treated with androgen receptor pathway in hibitors (ARPI). Beta diversity analysis indicated substantial changes attributable to the treatment group, radiation, hormone therapy, and ARPI. The AD group had a diminished number of potentially advantageous bacteria (Methanobrevibacter, Paraprevotella, Colidextribacter) and an elevated abundance of Terrisporobacter and Streptococcus compared to the DF group. The AS group showed reduction in Intestinibacter, Adlercreutzia, Subdoligranulum, and Methanobrevibacter, along with an increase in Fusicatenibacter, Lachnospiraceae, and Lachnoclostridium.

Conclusions

Patients who remain disease-free after therapy have restored microbiota abundant in potential beneficial bacteria, in contrast to individuals with severe disease or those under active monitoring. This study indicates that gut microbiome characteristics could assist in risk assessment and act as possible treatment targets for prostate cancer.
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