接受辅助内分泌治疗的乳腺癌患者的肠道微生物群和代谢组学景观的综合见解。

IF 4.6 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-09-23 Epub Date: 2025-08-15 DOI:10.1128/msystems.00879-25
Taha Majid Mahmood Sheikh, Fen Yao, Zhenyan Liu, Muhammad Shafiq, Jilong Wu, Areeba Khalid, Qingdong Xie, Xiaoyang Jiao, Weitao Shen
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引用次数: 0

摘要

肠道微生物群和全身代谢物对乳腺癌的进展和治疗反应至关重要。本研究调查了乳腺癌患者辅助内分泌治疗(AET)前后的肠道微生物群和代谢谱。利用16S rRNA测序和非靶向代谢组学,我们发现了微生物多样性和代谢途径的显著中断。aet前患者α多样性降低,aet后观察到部分恢复。关键属如双歧杆菌和粪球菌在aet前患者中富集,而变形杆菌和甲基杆菌在aet后患者中富集。代谢组学分析显示,与健康对照组(HC)相比,aet前组和aet后组的维生素B6代谢物水平均显著降低,这表明可能存在营养缺乏或代谢应激。aet前患者胆固醇和雌激素代谢物水平升高反映了脂质和激素代谢紊乱,aet后雌激素代谢物下降,证实了治疗效果。相关性分析显示,Klebsiella_724518与雌激素和维生素B6代谢产物呈正相关,而Proteus、Methylobacterium、Treponema_D和Holdemanella与胆固醇呈负相关。受试者工作特征(ROC)曲线分析发现雌三醇(曲线下面积[AUC] = 1.000)是区分HCs和AET前患者的强有力的诊断性生物标志物,而胆固醇(AUC = 0.880)和雌二醇-17β (AUC = 0.870)在监测AET治疗反应方面非常有效。这项研究强调了肠道微生物群及其代谢副产物在乳腺癌发展和治疗结果中的作用。它还揭示了有希望的微生物和代谢物特征,用于非侵入性癌症检测,跟踪进展和监测治疗反应。乳腺癌的进展和治疗反应仍然难以有效地预测和监测。我们的研究结果证明了肠道微生物群及其代谢产物在影响两者方面的双重作用。特定微生物分类群与关键代谢物之间的强相关性为肠道微生物对内分泌治疗结果的影响提供了新的机制见解。重要的是,我们确定了高性能的生物标志物,雌三醇显示出完美的诊断准确性(AUC = 1.000),胆固醇有效监测治疗反应(AUC = 0.880),突出了它们在非侵入性临床应用中的潜力。本研究为应用肠道微生物组研究开发可改善乳腺癌管理的临床工具提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Integrated insights into gut microbiota and metabolomic landscape in breast cancer patients undergoing adjuvant endocrine therapy.

Integrated insights into gut microbiota and metabolomic landscape in breast cancer patients undergoing adjuvant endocrine therapy.

Integrated insights into gut microbiota and metabolomic landscape in breast cancer patients undergoing adjuvant endocrine therapy.

Integrated insights into gut microbiota and metabolomic landscape in breast cancer patients undergoing adjuvant endocrine therapy.

Gut microbiota and systemic metabolites are critical for breast cancer progression and therapeutic response. This study investigated gut microbiota and metabolic profiles of breast cancer patients before and after adjuvant endocrine therapy (AET). Using 16S rRNA sequencing and untargeted metabolomics, we identified significant disruptions in microbial diversity and metabolic pathways. Alpha diversity was reduced in pre-AET patients, with partial restoration observed post-AET. Key genera, such as Bifidobacterium and Coprococcus, were enriched in pre-AET patients, whereas Proteus and Methylobacterium were enriched in post-AET patients. Metabolomic analysis revealed significant reductions in the levels of vitamin B6 metabolites in both the pre-AET and post-AET groups compared to those in the healthy control (HC) group, indicating potential nutrient deficiencies or metabolic stress. Elevated cholesterol and estrogen metabolite levels in pre-AET patients reflect dysregulated lipid and hormone metabolism, with post-AET decreases in estrogen metabolites, confirming therapeutic efficacy. Correlation analysis revealed that Klebsiella_724518 was positively correlated with estrogen and vitamin B6 metabolites, whereas Proteus, Methylobacterium, Treponema_D, and Holdemanella were negatively correlated with cholesterol. Receiver operating characteristic (ROC) curve analysis identified estriol (area under the curve [AUC] = 1.000) as a strong diagnostic biomarker for distinguishing HCs from pre-AET patients, whereas cholesterol (AUC = 0.880) and estradiol-17β (AUC = 0.870) were highly effective in monitoring the therapeutic response to AET. This study highlights the role of gut microbiota and its metabolic byproducts in breast cancer development and treatment outcomes. It also reveals promising microbial and metabolite signatures for non-invasive cancer detection, tracking progression, and monitoring treatment response.IMPORTANCEBreast cancer progression and treatment response remain challenging to predict and monitor effectively. Our findings demonstrate the dual role of the gut microbiota and its metabolic products in influencing both. Strong correlations between specific microbial taxa and key metabolites provide new mechanistic insights into the influence of gut microbes on therapeutic outcomes during endocrine therapy. Importantly, we identified high-performance biomarkers, with estriol showing perfect diagnostic accuracy (AUC = 1.000) and cholesterol effectively monitoring treatment response (AUC = 0.880), highlighting their potential for non-invasive clinical applications. This study provides a foundation for applying gut microbiome research to develop clinical tools that could improve breast cancer management.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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