Evidence map›Paper›PMID 40797356›Full record

ArticleHuman genomics2025

Insights into the tripartite relationship between cervical cancer, human papillomavirus, and the vaginal microbiome: a mega-analysis.

Hannah H Rashwan, Mohammed H Ali, Mazen M Mostafa, Raghda Ramadan, Mohamed Mysara

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Article in Human genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hannah H Rashwan *Bioinformatics Group, Centre for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, 12677, Egypt.
Mohammed H Ali *Bioinformatics Group, Centre for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, 12677, Egypt.
Mazen M MostafaBioinformatics Group, Centre for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, 12677, Egypt.
Raghda RamadanSchool of Biotechnology, Nile University, Giza, 12677, Egypt.
Mohamed MysaraBioinformatics Group, Centre for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, 12677, Egypt. MMaysara@nu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical 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.

resultsOur 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.

conclusionsThis 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.

Indexed as

MicrobiotaPapillomaviridaePapillomavirus InfectionsUterine Cervical NeoplasmsVaginaAdultCase-Control StudiesDysbiosisFemaleHuman Papillomavirus VirusesHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S amplicon sequencingCervical cancer (CC)Human papillomavirus (HPV)Mega-analysisMetagenomeVaginal microbiome

Identifiers

PMID40797356
PMCPMC12341356

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.