Development and validation of a multiplex qPCR method for identification of high-risk genotypes of human papillomavirus

Cervical cancer is a significant public health concern, disproportionately affecting women in less developed regions due to limited access to screening and vaccination programs. Despite advancements in cervical cancer prevention and treatment, there remains a need for efficient and cost-effective diagnostic tools. This study aimed to develop a multiplex real-time PCR assay to rapidly and accurately identify 15 human papillomavirus (HPV) genotypes.The primary objective was to design a screening method capable of simultaneously detecting HPV types 16 and 18, which account for over 70% of cervical cancers, as well as other clinically relevant high-risk and probable/possible high-risk. To validate the assay's performance, we compared its results with those obtained using the commercially available INNO-LiPA HPV Genotyping Extra II Assay kit (FujireBio, Tokyo, Japan). The developed assay successfully identified 15 HPV genotypes in a single reaction. Analysis of 150 positive and 40 negative clinical samples demonstrated excellent concordance between the two assays. The in-house real-time PCR test exhibited a clinical sensitivity of 98% and a clinical specificity of 100%, indicating its reliability and accuracy for HPV genotyping. The multiplex real-time PCR assay is a cost-effective and efficient tool for HPV screening, detecting multiple genotypes simultaneously. It enhances screening efficiency and accuracy, improving early detection and management of HPV-related diseases.

Authors

Institutions

Publication Details

Journal
Infectious Agents and Cancer
Published
2025-03-07
DOI
https://doi.org/10.1186/s13027-024-00633-z
Citations
3
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of a multiplex qPCR method for identification of high-risk genotypes of human papillomavirus

Mahmood Barati, Fereshteh Golab, A`li Reza Mohammadi, E. Lotfi et al.
3 citations
Infectious Agents and Cancer
Molecular Biology Techniques and Applications
2.42
article

Development and validation of a multiplex qPCR method for identification of high-risk genotypes of human papillomavirus

Mahmood Barati, Fereshteh Golab, A`li Reza Mohammadi, E. Lotfi, Fatemeh Karamali
article en
3 citations

Abstract

Cervical cancer is a significant public health concern, disproportionately affecting women in less developed regions due to limited access to screening and vaccination programs. Despite advancements in cervical cancer prevention and treatment, there remains a need for efficient and cost-effective diagnostic tools. This study aimed to develop a multiplex real-time PCR assay to rapidly and accurately identify 15 human papillomavirus (HPV) genotypes.The primary objective was to design a screening method capable of simultaneously detecting HPV types 16 and 18, which account for over 70% of cervical cancers, as well as other clinically relevant high-risk and probable/possible high-risk. To validate the assay's performance, we compared its results with those obtained using the commercially available INNO-LiPA HPV Genotyping Extra II Assay kit (FujireBio, Tokyo, Japan). The developed assay successfully identified 15 HPV genotypes in a single reaction. Analysis of 150 positive and 40 negative clinical samples demonstrated excellent concordance between the two assays. The in-house real-time PCR test exhibited a clinical sensitivity of 98% and a clinical specificity of 100%, indicating its reliability and accuracy for HPV genotyping. The multiplex real-time PCR assay is a cost-effective and efficient tool for HPV screening, detecting multiple genotypes simultaneously. It enhances screening efficiency and accuracy, improving early detection and management of HPV-related diseases.

Infectious Agents and CancerVol. 20(1)
Iran University of Medical Sciences (IR), Tehran University of Medical Sciences (IR)
Openalex Percentile: Top 13%
Molecular Biology Techniques and Applications
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.