PDF(Pubmed)
Abstract：
BACKGROUND: The endometrium remains a difficult tissue for the analysis of microbiota, mainly due to the low bacterial presence and the sampling procedures. Among its pathologies, endometrial cancer has not yet been completely investigated for its relationship with microbiota composition. In this work, we report on possible correlations between endometrial microbiota dysbiosis and endometrial cancer.
METHODS: Women with endometrial cancer at various stages of tumor progression were enrolled together with women with a benign polymyomatous uterus as the control. Analyses were performed using biopsies collected at two specific endometrial sites during the surgery. This study adopted two approaches: the absolute quantification of the bacterial load, using droplet digital PCR (ddPCR), and the analysis of the bacterial composition, using a deep metabarcoding NGS procedure.
RESULTS: ddPCR provided the first-ever assessment of the absolute quantification of bacterial DNA in the endometrium, confirming a generally low microbial abundance. Metabarcoding analysis revealed a different microbiota distribution in the two endometrial sites, regardless of pathology, accompanied by an overall higher prevalence of pathogenic bacterial genera in cancerous tissues.
CONCLUSIONS: These results pave the way for future studies aimed at identifying potential biomarkers and gaining a deeper understanding of the role of bacteria associated with tumors.
METHODS: Women with endometrial cancer at various stages of tumor progression were enrolled together with women with a benign polymyomatous uterus as the control. Analyses were performed using biopsies collected at two specific endometrial sites during the surgery. This study adopted two approaches: the absolute quantification of the bacterial load, using droplet digital PCR (ddPCR), and the analysis of the bacterial composition, using a deep metabarcoding NGS procedure.
RESULTS: ddPCR provided the first-ever assessment of the absolute quantification of bacterial DNA in the endometrium, confirming a generally low microbial abundance. Metabarcoding analysis revealed a different microbiota distribution in the two endometrial sites, regardless of pathology, accompanied by an overall higher prevalence of pathogenic bacterial genera in cancerous tissues.
CONCLUSIONS: These results pave the way for future studies aimed at identifying potential biomarkers and gaining a deeper understanding of the role of bacteria associated with tumors.
摘要：
背景：子宫内膜仍然是微生物群分析的困难组织，主要是由于细菌的存在和取样程序低。在其病理中，子宫内膜癌与微生物组成的关系尚未完全研究。在这项工作中,我们报道了子宫内膜微生物群失调与子宫内膜癌之间可能的相关性.
方法：将处于不同肿瘤进展阶段的子宫内膜癌女性与良性多肌性子宫的女性作为对照纳入研究。使用在手术期间在两个特定子宫内膜部位收集的活检进行分析。本研究采用了两种方法：细菌负荷的绝对定量，使用液滴数字PCR（ddPCR），和细菌成分的分析，使用深度元编码NGS过程。
结果：ddPCR首次对子宫内膜细菌DNA的绝对定量进行评估，证实微生物丰度普遍较低。代谢编码分析显示两个子宫内膜部位的微生物群分布不同，不管病理学，伴随着癌组织中病原菌属的总体患病率较高。
结论：这些结果为旨在识别潜在生物标志物并更深入地了解细菌与肿瘤相关的作用的未来研究铺平了道路。
方法：将处于不同肿瘤进展阶段的子宫内膜癌女性与良性多肌性子宫的女性作为对照纳入研究。使用在手术期间在两个特定子宫内膜部位收集的活检进行分析。本研究采用了两种方法：细菌负荷的绝对定量，使用液滴数字PCR（ddPCR），和细菌成分的分析，使用深度元编码NGS过程。
结果：ddPCR首次对子宫内膜细菌DNA的绝对定量进行评估，证实微生物丰度普遍较低。代谢编码分析显示两个子宫内膜部位的微生物群分布不同，不管病理学，伴随着癌组织中病原菌属的总体患病率较高。
结论：这些结果为旨在识别潜在生物标志物并更深入地了解细菌与肿瘤相关的作用的未来研究铺平了道路。
