洞察宫颈癌,人乳头瘤病毒和阴道微生物组之间的三方关系:大型分析。

IF 4.3 3区 医学 Q2 GENETICS & HEREDITY
Hannah H Rashwan, Mohammed H Ali, Mazen M Mostafa, Raghda Ramadan, Mohamed Mysara
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引用次数: 0

摘要

背景:宫颈癌(CC)是全球女性中第四大最常见的恶性肿瘤,其中99.7%的病例与持续的人乳头瘤病毒(HPV)感染有关。虽然新出现的证据表明阴道微生物群失调在hpv驱动的CC中起作用,但具体的微生物改变及其功能意义尚不清楚。然而,在识别特定微生物特征方面的不一致性——主要是由于异质研究设计、靶向16S rRNA区域和数据处理方法——限制了现有发现的普遍性。为了应对这些挑战,我们使用成分感知方法进行了标准化的大型分析,以确保一致性并最大限度地减少研究中的技术偏差。结果:我们的大型分析整合了5个病例对照16S rRNA ampilicon测序研究的结果,包括215个样本。与健康对照相比,CC患者表现出更高的α多样性(Shannon指数,p)。结论:这项大型分析使用公开的16S数据集,提供了迄今为止方法上最均匀的CC相关阴道微生物组研究。我们的研究结果不仅加深了我们对微生物对CC影响的理解,而且为新的诊断和治疗方法铺平了道路,可能会提高CC患者的治疗效果。这些见解为临床干预开辟了新的途径,超出了传统的以hpv为中心的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Insights into the tripartite relationship between cervical cancer, human papillomavirus, and the vaginal microbiome: a mega-analysis.

Background: Cervical cancer (CC) is the fourth most prevalent malignancy among women worldwide, where 99.7% of the cases are linked to persistent human papillomavirus (HPV) infections. While emerging evidence suggests a role for vaginal microbiome dysbiosis in HPV-driven CC, the specific microbial alterations and their functional implications remain unclear. However, inconsistencies in identifying specific microbial signatures-largely due to heterogeneous study designs, targeted 16S rRNA regions, and data processing methods-have limited the generalizability of existing findings. To address these challenges, we conducted a standardized mega-analysis using a compositionality-aware approach to ensure consistency and minimize technical bias across studies.

Results: Our mega-analysis consolidates findings from five case-control 16S rRNA ampilicon sequencing studies, encompassing 215 samples. Compared to healthy controls, CC patients exhibited significantly higher alpha diversity (Shannon index, p <0.005) and a shift from a Lactobacillus-dominant to a polymicrobial vaginal microbiome. This microbial dysbiosis was characterized by an increased abundance of Porphyromonadaceae, particularly Porphyromonas asaccharolytica, and other anaerobic bacterial species such as Campylobacter ureolyticus, Peptococcus niger, and Anaerococcus obesiensis (FDR <0.05). Functional profiling of the altered microbiome revealed enrichment in pathways associated with chronic inflammation, fatty acid biosynthesis, amino acid metabolism, cellular proliferation, invasion, and metastasis.

Conclusions: This mega-analysis presents the most methodologically homogeneous study to date of CC-associated vaginal microbiome using publicly available 16S datasets. Our findings not only deepen our understanding of microbial influences on CC but also pave the way for novel diagnostic and therapeutic approaches potentially enhancing patient outcomes in CC care. These insights open new avenues for clinical interventions that extend beyond conventional HPV-centric strategies.

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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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