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Insight into the complex interaction between vaginal microbiome, metabolome, and host gene expression in cervical cancer progression

ABSTRACT:

This study aimed to highlight the relationships between vaginal microbiome composition, metabolic alterations, and gene expression changes during cervical cancer. Multi-omics analysis for the healthy (Z group), abortion (AB group), HPV infection (HP group), and cervical cancer group (CC group), qRT-PCR and cytotoxicity assays were used for validation. The CC group had the highest vaginal community diversity with decreased Lactobacillus and increase in anaerobic bacteria. In the HP group, Bifidobacteriales are obvious markers. Metabolomic analysis revealed changes in lipid metabolism pathways, the metabolic pathways of the AB and HP group were similar. Lactic acid and α-linolenic acid were negatively correlated with Anaerococcus and Porphyromonas. There were 8 up-regulated genes at HPV infection. Key upregulated genes in the CC group, including CCL2, CDKN1A, and IRF1, showed negative correlations with α-linolenic acid levels. The distinct microbial and metabolite patterns could facilitate in the diagnosis and treatment of cervical cancer.

INSTRUMENT(S): Liquid Chromatography MS - positive - hilic, Liquid Chromatography MS - negative - hilic

PROVIDER: MTBLS10477 | MetaboLights | 2025-11-26

REPOSITORIES: MetaboLights

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			Action	DRS
	_CHRO001.DAT	Other
	_CHRO002.DAT	Other
	_FUNC001.DAT	Other
	_FUNC002.DAT	Other
	_FUNC003.DAT	Other

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