Precancerous lesions of the cervix — aetiology, classification, diagnosis, prevention

Kornovski, Yavor; Slavchev, Stanislav; Kostov, Stoyan; Ivanova, Yonka; Yordanov, Angel

doi:10.5603/ocp.2021.0027

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…Lesions referred to as low-or high-grade cervical intraepithelial neoplasia (CIN) are far more common in the cervix [18]. CIN is a precancerous condition that also results from a persistent infection with HPV within cervical cells [19]. CIN is classified into three grades, CIN-1, CIN-2, and CIN-3, based on the degree of abnormality in the cervical cells [18].…”

Section: Hpv Infection and Cervical Cancermentioning

confidence: 99%

Human Papillomavirus Infections and the Role Played by Cervical and Cervico-Vaginal Microbiota—Evidence from Next-Generation Sequencing Studies

Głowienka-Stodolak,

Bagińska-Drabiuk,

Szubert

et al. 2024

Cancers

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This comprehensive review encompasses studies examining changes in the cervical and cervico-vaginal microbiota (CM and CVM) in relation to human papillomavirus (HPV) using next-generation sequencing (NGS) technology. HPV infection remains a prominent global health concern, with a spectrum of manifestations, from benign lesions to life-threatening cervical cancers. The CM and CVM, a unique collection of microorganisms inhabiting the cervix/vagina, has emerged as a critical player in cervical health. Recent research has indicated that disruptions in the CM and CVM, characterized by a decrease in Lactobacillus and the overgrowth of other bacteria, might increase the risk of HPV persistence and the progression of cervical abnormalities. This alteration in the CM or CVM has been linked to a higher likelihood of HPV infection and cervical dysplasia. NGS technology has revolutionized the study of the cervical microbiome, providing insights into microbial diversity, dynamics, and taxonomic classifications. Bacterial 16S rRNA gene sequencing, has proven invaluable in characterizing the cervical microbiome, shedding light on its role in HPV infections and paving the way for more tailored strategies to combat cervical diseases. NGS-based studies offer personalized insights into an individual’s cervical microbiome. This knowledge holds promise for the development of novel diagnostic tools, targeted therapies, and preventive interventions for cervix-related conditions, including cervical cancer.

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Section: Hpv Infection and Cervical Cancermentioning

confidence: 99%

Human Papillomavirus Infections and the Role Played by Cervical and Cervico-Vaginal Microbiota—Evidence from Next-Generation Sequencing Studies

Głowienka-Stodolak,

Bagińska-Drabiuk,

Szubert

et al. 2024

Cancers

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“…Cervical cancer is the fourth most common cancer among women worldwide, with 604,000 new cases reported in 2020 [1]. Out of the 342,000 deaths caused by cervical cancer, approximately 90% occurred in low-and middle-income countries [1,2]. The World Health Organization (WHO) classifies cervical cancer precursor lesions into two categories: lowgrade squamous intraepithelial lesions (LSIL) and high-grade squamous intraepithelial lesions (HSIL).…”

Section: Introductionmentioning

confidence: 99%

FMA-Net: Fusion of Multi-Scale Attention for Grading Cervical Precancerous Lesions

Duan,

Xu,

et al. 2024

Mathematics

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Cervical cancer, as the fourth most common cancer in women, poses a significant threat to women’s health. Vaginal colposcopy examination, as the most cost-effective step in cervical cancer screening, can effectively detect precancerous lesions and prevent their progression into cancer. The size of the lesion areas in the colposcopic images varies, and the characteristics of the lesions are complex and difficult to discern, thus heavily relying on the expertise of the medical professionals. To address these issues, this paper constructs a vaginal colposcopy image dataset, ACIN-3, and proposes a Fusion Multi-scale Attention Network for the detection of cervical precancerous lesions. First, we propose a heterogeneous receptive field convolution module to construct the backbone network, which utilizes combinations of convolutions with different structures to extract multi-scale features from multiple receptive fields and capture features from different-sized regions of the cervix at different levels. Second, we propose an attention fusion module to construct a branch network, which integrates multi-scale features and establishes connections in both the spatial and channel dimensions. Finally, we design a dual-threshold loss function and introduce positive and negative thresholds to improve sample weights and address the issue of data imbalance in the dataset. Multiple experiments are conducted on the ACIN-3 dataset to demonstrate the superior performance of our approach compared to some classical and recent advanced methods. Our method achieves an accuracy of 92.2% in grading and 94.7% in detection, with average AUCs of 0.9862 and 0.9878. Our heatmap illustrates the accuracy of our approach in focusing on the locations of lesions.

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Role of rs2366152 single-nucleotide variant located in the long noncoding RNA HOTAIR gene in the cervical cancer susceptibility in a Polish population

Łaźniak,

Sowińska,

Roszak

et al. 2023

J Appl Genetics

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Previous studies have demonstrated an association of the NC_000012.12:g.53962605A > G, (rs2366152) single-nucleotide variant (SNV) situated in the long noncoding homeobox transcript antisense intergenic RNA (HOTAIR) gene with HPV16-related cervical cancer pathogenesis. However, little is known about the role of rs2366152 in cervical cancer progression and how oral birth control pills use, parity, menopausal status, and cigarette smoking influence the role of rs2366152 in cervical carcinogenesis. HRM analysis was used to determine the rs2366152 SNV prevalence in patients with cervical squamous cell carcinoma (SCC) (n = 470) and control group (n = 499) in a Polish Caucasian population. Logistic regression analyses were adjusted for age, using birth control pills, parity, menopausal status, and cigarette smoking. Our genetic studies revealed that the G/A vs. A/A (p = 0.031, p = 0.002) and G/A + G/G vs. A/A (p = 0.035, p = 0.003) genotypes of rs2366152 SNV were significantly related to the grade of differentiation G3 and tumor stage III, respectively. Moreover, cervical cancer risk increased among patients with rs2366152 SNV who smoked cigarettes and used birth control pills. We conclude that rs2366152 may promote the invasion and rapid growth of cervical SCC. Moreover, rs2366152 with cigarette smoking and using birth control pills can also be a risk factor for cervical cancerogenesis.

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Precancerous lesions of the cervix — aetiology, classification, diagnosis, prevention

Cited by 3 publications

References 28 publications

Human Papillomavirus Infections and the Role Played by Cervical and Cervico-Vaginal Microbiota—Evidence from Next-Generation Sequencing Studies

Human Papillomavirus Infections and the Role Played by Cervical and Cervico-Vaginal Microbiota—Evidence from Next-Generation Sequencing Studies

FMA-Net: Fusion of Multi-Scale Attention for Grading Cervical Precancerous Lesions

Role of rs2366152 single-nucleotide variant located in the long noncoding RNA HOTAIR gene in the cervical cancer susceptibility in a Polish population

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