ArticleBMC cancer2022
Observation of the cervical microbiome in the progression of cervical intraepithelial neoplasia.
Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Associations of the gut, cervical, and vaginal microbiota with cervical cancer: a systematic review and meta-analysis.BMC women's health · 2025Pooled it
- Intratumoral microbiota composition in women's cancers: a systematic review and meta-analysis.Frontiers in oncology · 2025Pooled it
- Leveraging existing 16S rRNA gene surveys to decipher microbial signatures and dysbiosis in cervical carcinogenesis.Scientific reports · 2024Pooled it
- Integrating microbiome insights into cervical cancer.Frontiers in medicine · 2026Review
- Article
- Microbial and metabolic profiles associated with HPV infection and cervical intraepithelial neoplasia: a multi-omics study.Microbiology spectrum · 2025Article
- The mechanism of ECT1/E6E7 cervical intraepithelial neoplasia cells regulated by Acinetobacter lwoffii through circ-LDHA/HMGB1.BMC microbiology · 2025Article
- The vaginal microbiome in HPV persistence and cervical cancer progression.Frontiers in cellular and infection microbiology · 2025Review
- miR-218-5p, miR-124-3p and miR-23b-3p act synergistically to modulate the expression of NACC1, proliferation, and apoptosis in C-33A and CaSki cells.Non-coding RNA research · 2024Article
- Review
- Establishment and validation of a prognostic model for premature rupture of membranes and preterm delivery in pregnant women after cervical conization.American journal of translational research · 2024Article
- Clinical efficacy of recombinant human interferon α-2b gel combined with LEEP conization in treating cervical intraepithelial neoplasia with comorbid high-risk HPV infection.American journal of translational research · 2024Article
- Pre- and post-LEEP: analysis of the female urogenital tract microenvironment and its association with sexual dysfunction.Sexual medicine · 2023Article
- The analysis ofFrontiers in microbiology · 2023Article
- Microbiota of female genital tract - functional overview of microbial flora from vagina to uterine tubes and placenta.Physiological research · 2022Review
- A risk prediction model mediated by genes of APOD/APOC1/SQLE associates with prognosis in cervical cancer.BMC women's health · 2022Article
- A systematic assessment of stress insomnia as the high-risk factor for cervical cancer and interplay of cervicovaginal microbiome.Frontiers in cellular and infection microbiology · 2022Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveCervical microbial community in the cervical intraepithelial neoplasia and cervical cancer patients was analysed to study its composition, diversity and signalling pathways by high-throughput 16S rDNA sequencing,and the candidate genes associated with occurrence and progression of cervical intraepithelial neoplasia were screened out and the model was established to predict the evolution of cervical intraepithelial neoplasia malignant transformation from the cervical microbial genes aspect.
methodsCervical tissues of normal, cervical intraepithelial neoplasia and cervical cancer patients without receiving any treatment were collected. The correlation between candidate genes and cervical intraepithelial neoplasia progression was initially determined by analyzing the microbial flora. Real-time fluorescence quantitative PCR was used to detect the expression of candidate genes in different cervical tissues, ROC curve and logistic regression was used to analyse and predict the risk factors related to the occurrence and progression of cervical intraepithelial neoplasia. Finally, the early warning model of cervical intraepithelial neoplasia occurrence and progression is established.
resultsCervical tissues from normal, cervical intraepithelial neoplasia and cervical cancer patients were collected for microbial community high-throughput 16S rDNA sequencing. The analysis revealed five different pathways related to cervical intraepithelial neoplasia. 10 candidate genes were selected by further bioinformatics analysis and preliminary screening. Real time PCR, ROC curve and Logistic regression analysis showed that human papillomavirus infection, TCT severity, ABCG2, TDG, PCNA were independent risk factors for cervical intraepithelial neoplasia. We used these indicators to establish a random forest model. Seven models were built through different combinations. The model 4 (ABCG2 + PCNA + TDG) was the best early warning model for the occurrence and progression of CIN.
conclusionsA total of 5 differential pathways and 10 candidate genes related to occurrence and progression of cervical intraepithelial neoplasia were found in cervical microbial community. This study firstly identified the genes from cervical microbial community that play an important role in the occurrence and progression of cervical intraepithelial neoplasia. At the same time, the early warning model including ABCG2 + PCNA+TDG genes provided a new idea and target for clinical prediction and blocking the evolution of cervical intraepithelial neoplasia malignant transformation from the aspect of cervical microbiological related genes.
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