{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T18:22:19Z","timestamp":1790792539514,"version":"4.1.0"},"reference-count":47,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T00:00:00Z","timestamp":1750636800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>Precision prevention strategies for cervical cancer that integrate genetic biomarkers provide opportunities for personalized risk assessment and optimized preventive measures. An HPV infection\u2013Precancerous\u2013Cancer risk assessment model incorporating genetic polymorphisms and DNA methylation was developed to better understand the regression and progression of cervical lesions by HPV infection status. Utilizing a virtual cohort of 300,000 Taiwanese women aged 30 years and older, our model simulated the natural history of cervical cancer, capturing transitions from a healthy state through precancerous lesions (LSILs and HSILs) to invasive carcinoma and incorporating the possibility of regression between states. Genetic and epigenetic markers significantly influenced disease transitions, demonstrating heterogeneous risks among women with distinct molecular biomarker profiles. Guided by these individual risk profiles, tailored preventive strategies including varying intervals for Pap smear screening, HPV DNA testing, and HPV vaccination showed improved efficiency and effectiveness in reducing cervical cancer incidence compared to uniform approaches. The proposed dynamic transition model of cervical neoplasms incorporating genetic biomarkers can facilitate the development of an individualized risk-based approach for guiding precision prevention towards the goal of cervical cancer elimination.<\/jats:p>","DOI":"10.3390\/ijms26136016","type":"journal-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T09:08:44Z","timestamp":1750669724000},"page":"6016","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Genetic Biomarkers Associated with Dynamic Transitions of Human Papillomavirus (HPV) Infection\u2013Precancerous\u2013Cancer of Cervix for Navigating Precision Prevention"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4738-1915","authenticated-orcid":false,"given":"Pallop","family":"Siewchaisakul","sequence":"first","affiliation":[{"name":"Faculty of Public Health, Chiang Mai University, Chiang Mai 50200, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean Ching-Yuan","family":"Fann","sequence":"additional","affiliation":[{"name":"Department of Health Services Administration, College of Public Health, China Medical University, Taichung 406040, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng-Kan","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Family Medicine, National Taiwan University Hospital Hsinchu Branch, Hsinchu 302058, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8586-0277","authenticated-orcid":false,"given":"Chen-Yang","family":"Hsu","sequence":"additional","affiliation":[{"name":"Master of Public Health Program, College of Public Health, National Taiwan University, Taipei 100025, Taiwan"},{"name":"Taiwan Association of Medical Screening, Taipei 103015, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,6,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1093\/oxfordjournals.aje.a112253","article-title":"Effect of a mass screening program on the risk of cervical cancer","volume":"103","author":"Hakama","year":"1976","journal-title":"Am. 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