Outline

Ingegneria Sismica

Ingegneria Sismica

Recent Advances in Human Papillomavirus Testing Technologies

Author(s): Kun Gan1,2, Yikang Huo1,2, Lusheng Xin2, Li Lin2
1School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China
2School of Public Health, Jining Medical University, Jining, Shandong 272067, China
Gan, Kun. et al “Recent Advances in Human Papillomavirus Testing Technologies.” Ingegneria Sismica Volume 43 Issue 3: 1-14, doi:10.65102/is20261238.

Abstract

Human papillomavirus (HPV) examination has made cervical cancer screening change from observation which based on morphology to molecular risk classification, hence clinically useful progress is not balanced among targets, platforms and sampling work procedures. This review synthesized the latest proof from PubMed, Web of Science, Scopus, and WHO guidance documents, with stress on English language comparative research and guides issued from 2023 to 2025. Newest data indicate that authenticated DNA tests are still the main support of first-step checking because they bring together high sensitivity, automatic operation, and expandable genotyping, therefore E6/E7 mRNA, p16/Ki-67 double staining, and E6/E7 oncoprotein tests enhance triage specificity through concentrating on biologically active infection or transformation. Self-collection, urine examination, CRISPR-rooted on-site detection platforms, long-read combination analysis, and AI-supported cytology enlarge access or deepen risk classification, but standardization and forward-looking verification still lack enough for overall substitution of mature working procedures. On the whole, this research area is advancing in the direction of a step-by-step model, in which the first step is primary HPV nucleic acid examination, after which there comes genotype-conscious and activity-based classification, with sampling simplification and testing close to patient being utilized to promote coverage and shorten turnaround time. This framework can give support to more accurate and more easy-to-reach cervical cancer prevention work.

Keywords
human papillomavirus; cervical cancer screening; molecular diagnostics; genotyping; self-sampling; triage

Related Articles

Zhihao Jiang1,2, Limi Chen1,2, Jing Yang1
1Hainan Vocational University of Science and Technology, Haikou 571126, China
2Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Malaysia
Limi Chen1,2, Zhihao Jiang1,2, Jing Yang1
1Hainan Vocational University of Science and Technology, Haikou 571126, China
2Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Malaysia
Hui Yuan1, Minjie Chai2, Siqing Xu1, Jinsong Li1, Jinwan Zheng1
1Electric Power Research Institute, State Grid Shanxi Electric Power Co., Ltd., Taiyuan, 030001, Shanxi, China
2Jincheng Power Supply Branch, State Grid Shanxi Electric Power Co., Ltd., Jincheng, 048000, Shanxi, China
Yanhan Zhu1,2
1China Academy of Cultural Heritage, Chaoyang District, 100029, Beijing, China
2Beijing University of Civil Engineering and Architecture, Xicheng District, 100044, Beijing, China
Ken Wang1, Jinhan Shu2, Kan Yuan1
1School of Digital Media, Shenzhen Polytechnic University, Shenzhen 518055, Guangdong, China
2Postdoctoral Mobile Station of Journalism and communication, Fudan University, Shanghai 200433, Shanghai, China