REVIEW article
Front. Cancer Control Soc.
Sec. Behavioural Aspects in Cancer Screening and Diagnosis
Volume 3 - 2025 | doi: 10.3389/fcacs.2025.1672917
Advances in Early Diagnostic Technologies for Cervical Cancer Oriented Toward Precision Screening
Provisionally accepted
- Dalian University, Dalian, China
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Cervical cancer is one of the most prevalent and lethal malignancies among women worldwide, closely associated with persistent infection of high-risk human papillomavirus (HPV). Despite being largely preventable and controllable, it remains a major public health concern, particularly in developing countries. This review aims to systematically summarize recent advances in early screening techniques for cervical cancer, comparing the advantages and limitations of traditional and emerging approaches, and exploring directions for optimizing future screening systems. Based on a comprehensive literature review, we summarized the current status of cytology, HPV genotyping, molecular biomarkers, and imaging techniques, and further examined the latest progress in artificial intelligence (AI), liquid biopsy (including ctDNA, miRNA, and exosomes), and multi-omics integration. The review evidence indicates that traditional methods are limited by sensitivity, specificity, and operator dependence; AI demonstrates high efficiency in image recognition and risk prediction; liquid biopsy provides a non-invasive, molecular-level detection approach; and multi-omics integration significantly enhances screening accuracy and risk stratification. In conclusion, cervical cancer screening is undergoing a critical transition from conventional methods to intelligent, non-invasive, and precise strategies. In the future, multi-technology integration, intelligent platform development, and the clinical application of flexible sensors and microfluidic chips are expected to drive the screening system toward greater precision and accessibility, thereby supporting the global goal of early detection, early diagnosis, and early treatment of cervical cancer.
Keywords: cervical cancer, Early Screening, artificial intelligence, liquid biopsy, Molecular Biomarkers
Received: 25 Jul 2025; Accepted: 11 Sep 2025.
Copyright: © 2025 Yang, Shi, Sun, Tan and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Hongwei Wu, Dalian University, Dalian, China
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