宫颈涂片样本中高危人乳头瘤病毒基因型的分布及ASC-US、LSIL和HSIL结果的评估

IF 1 4区 医学 Q4 MEDICAL LABORATORY TECHNOLOGY
Journal of Cytology Pub Date : 2024-01-01 Epub Date: 2025-02-11 DOI:10.4103/joc.joc_70_24
Eylul Beren Tanik, Ayfer Bakir, Tugba Taskin Turkmenoglu, Gul Erdem
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引用次数: 0

摘要

背景:高危人乳头瘤病毒(hrHPV)是导致宫颈癌最常见的病毒病原体。确定HPV阳性率、基因型分布和获取区域流行病学数据可以为预防策略提供指导。目的:本研究旨在评估HPV阳性率、年龄分布、异常细胞学基因分型,进而获得区域流行病学数据。设置和设计:描述性研究。材料和方法:本研究纳入3510名年龄≥18岁的妇女,她们的宫颈涂片样本在微生物实验室进行检查。应用聚合酶链反应(PCR)法对宫颈涂片样本进行HPV检测和基因分型。根据Bethesda系统评估子宫颈抹片检查。统计分析采用SPSS 23 (IBM Corp.)软件对数据进行统计分析。结果:hrHPV感染阳性率为10%。最常见的基因型是其他hrHPV。hrHPV多发阳性感染率为13.6%。18 ~ 24岁年龄组hrHPV阳性率最高(28.7%)。异常细胞学中HPV感染较高(P < 0.001), LSIL阳性最高(P < 0.001)。hpv阳性个体发生LSIL和HSIL细胞学的风险是hpv阴性个体的32.59倍(OR = 32.59;95% ci 16.42-64.66)。结论:hrHPV阳性检出率为10%,以其他hrHPV毒株感染最多,其次为hpv16。由于在细胞学异常患者中其他hrHPV毒株阳性的检出率很高,因此进行区域研究,分别确定每种hrHPV类型,监测HPV 16和HPV 18以外类型感染的自然过程,以及受益的疫苗研究被认为是必不可少的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Distribution of High-risk Human Papillomavirus Genotypes in Cervical Smear Samples and Evaluation of ASC-US, LSIL, and HSIL Results.

Distribution of High-risk Human Papillomavirus Genotypes in Cervical Smear Samples and Evaluation of ASC-US, LSIL, and HSIL Results.

Distribution of High-risk Human Papillomavirus Genotypes in Cervical Smear Samples and Evaluation of ASC-US, LSIL, and HSIL Results.

Distribution of High-risk Human Papillomavirus Genotypes in Cervical Smear Samples and Evaluation of ASC-US, LSIL, and HSIL Results.

Context: High-risk human papillomavirus (hrHPV) is the most common viral pathogen responsible for cervical cancers. Determining the rates of HPV positivity, genotypic distribution, and obtaining regional epidemiological data can provide guidance for preventive strategies.

Aims: This study aims to assess HPV positivity rates, age distribution, genotyping in abnormal cytologies, and then obtain regional epidemiological data.

Settings and design: Descriptive study.

Materials and methods: This study included 3510 women aged ≥18, whose cervical smear samples were examined at the Microbiology Laboratory. HPV detection and genotyping in cervical smear samples were performed using the polymerase chain reaction (PCR) method. Pap smears were evaluated according to the Bethesda system.

Statistical analysis used: SPSS 23 (IBM Corp.) software was utilized for the statistical analysis of the data.

Results: The positivity rate for hrHPV infection was 10%. The most common genotype was other hrHPV. The rate of multiple hrHPV positive infections was 13.6%. The highest hrHPV positivity was observed in the age group ranging from 18 to 24 age group (28.7%). HPV infections were higher in abnormal cytologies (P < 0.001), with the highest positivity in LSIL (P < 0.001). The risk of having LSIL and HSIL cytology in HPV-positive individuals was 32.59 times higher than that in HPV-negative individuals (OR = 32.59; 95% CI 16.42-64.66).

Conclusions: The hrHPV positivity was 10%, with other hrHPV strain infections being the most detected, followed by HPV 16. Due to the high detection of other hrHPV strain positivity in patients with abnormal cytology, conducting regional studies determining each hrHPV type separately, monitoring the natural course of infection with types other than HPV 16 and HPV 18, and benefiting vaccine studies are considered essential.

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来源期刊
Journal of Cytology
Journal of Cytology MEDICAL LABORATORY TECHNOLOGY-
CiteScore
1.80
自引率
7.70%
发文量
34
审稿时长
46 weeks
期刊介绍: The Journal of Cytology is the official Quarterly publication of the Indian Academy of Cytologists. It is in the 25th year of publication in the year 2008. The journal covers all aspects of diagnostic cytology, including fine needle aspiration cytology, gynecological and non-gynecological cytology. Articles on ancillary techniques, like cytochemistry, immunocytochemistry, electron microscopy, molecular cytopathology, as applied to cytological material are also welcome. The journal gives preference to clinically oriented studies over experimental and animal studies. The Journal would publish peer-reviewed original research papers, case reports, systematic reviews, meta-analysis, and debates.
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