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Integrated Multi-Omics Analysis Reveals the Impact of Vaginal Microbiota on the Microenvironment During Cervical Precancerous Progression

ABSTRACT:

In this study, 172 HPV-positive patients were enrolled, of which 103 were diagnosed with low-grade squamous intraepithelial lesion (LSIL) and 69 with high-grade squamous intraepithelial lesion (HSIL). Vaginal secretions from 90 (60 with HSIL and 30 with LSIL) of these patients were collected in 80% methanol for metabolomic analysis.

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

PROVIDER: MTBLS12636 | MetaboLights | 2025-09-19

REPOSITORIES: MetaboLights

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			Action	DRS
	a_MTBLS12636_LC-MS_negative_hilic_metabolite_profiling.txt	Txt
	a_MTBLS12636_LC-MS_positive_hilic_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS12636_LC-MS_negative_hilic_metabolite_profiling_v2_maf.tsv	Tabular
	m_MTBLS12636_LC-MS_positive_hilic_metabolite_profiling_v2_maf.tsv	Tabular

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Project description:Background. MicroRNAs (miRNAs) are short (~22 nt) non-coding regulatory RNAs that control gene expression at the translational level. Deregulation of miRNA expression has been discovered in a wide variety of tumours and it is now clear that they contribute to cancer development and progression. This prompted the development of miRNA-chips for cancer diagnosis or prognosis, opening a new door to understand carcinogenesis. Cervical cancer is one of the most common cancers in women worldwide. Therefore, there is a strong need for a non-invasive, fast and efficient method to diagnose the disease. We investigated miRNA expression profiles in cervical cancer using a microarray platform developed in house containing probes for mature miRNAs. Results. We have evaluated miRNA expression profiles of a heterogeneous set of cervical tissues from 25 different patients. This set included 19 normal cervical tissues, 4 squamous cell carcinoma, 5 high-grade squamous intraepithelial lesion (HSIL) and 9 low-grade squamous intraepithelial lesion (LSIL) samples. We observed high variability in miRNA expression especially among normal cervical samples, which prevented us from obtaining a unique miRNA expression signature for this tumour type. However, miRNAs deregulation in malignant and pre-malignant cervical tissues was detected after tackling the high variability observed. We were also able to identify putative targets of relevant candidate miRNAs. Conclusions. Our results show that miRNA deregulation may play an important role in the malignant transformation of cervical squamous cells. In addition, deregulated miRNAs highlight new candidate targets allowing a better understanding of the molecular mechanism of this tumour type. In this study we used a common reference design experiment where the common reference used was a commercial RNA from normal cervix (Ambion) and the test samples were 4 pre-treatment squamous cell cervical carcinoma, 7 high-grade Squamous Intraepithelial Lesion (CINII, n=2 and CIN III, n=5) sample, 9 low-grade Squamous Intraepithelial Lesion (CIN I) samples, 19 normal cervix samples and 4 pools of normal cervix samples.

Dataset Information

Integrated Multi-Omics Analysis Reveals the Impact of Vaginal Microbiota on the Microenvironment During Cervical Precancerous Progression

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