Evaluating HPV Viral Load and Multiple Infections for Enhanced Cervical Cancer Risk-Based Assessment

Human papillomavirus (HPV) is a major cause of cervical cancer, a significant health concern worldwide. Despite advances in screening methods, including the Pap test and the HPV DNA test, limitations remain in accurately predicting which HPV infections will progress to cervical intraepithelial neoplasia (CIN) and, eventually, invasive cancer. This study evaluates the usefulness in real life of assessing HPV viral load and the presence of multiple HPV genotypes in enhancing the diagnostic accuracy of triage in cervical cancer screening. A retrospective analysis was performed on 55 formalin-fixed paraffin-embedded cervical samples collected from women who underwent colposcopy with a biopsy or conization at San Martino Hospital, Genova, Italy, between January and June 2021. Histological diagnoses were compared with molecular analyses (HPV genotyping, viral load quantification and co-infection) using a multiplex real-time PCR platform. Of the samples analyzed, 56.4% were HPV DNA positive, while 40% tested negative. The molecular analysis identified more HPV-negative cases than the histological analysis (<i>p</i> < 0.05). Higher viral loads and HPV co-infections were more frequent in high-grade CIN lesions. These markers may help identify patients at an elevated risk for persistent infections and cancer progression. These findings support the potential of integrating HPV viral load and genotype co-infection assessments into routine cervical cancer screening protocols to improve early detection and reduce overtreatment and unnecessary interventions.

Authors

Institutions

Publication Details

Journal
Life
Published
2025-01-22
DOI
https://doi.org/10.3390/life15020153
Citations
8
Primary Topic
Cervical Cancer and HPV Research
Type
article
Field-Weighted Citation Impact
10.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating HPV Viral Load and Multiple Infections for Enhanced Cervical Cancer Risk-Based Assessment

Giancarlo Icardi, Gabriele Gaggero, Simone Ferrero, Michele Paudice et al.
8 citations
Life
Cervical Cancer and HPV Research
10.83
article

Evaluating HPV Viral Load and Multiple Infections for Enhanced Cervical Cancer Risk-Based Assessment

Giancarlo Icardi, Gabriele Gaggero, Simone Ferrero, Michele Paudice, Katia Mazzocco, Giulia Ciccarese, Serena Varesano, Valerio Gaetano Vellone
article en
8 citations

Abstract

Human papillomavirus (HPV) is a major cause of cervical cancer, a significant health concern worldwide. Despite advances in screening methods, including the Pap test and the HPV DNA test, limitations remain in accurately predicting which HPV infections will progress to cervical intraepithelial neoplasia (CIN) and, eventually, invasive cancer. This study evaluates the usefulness in real life of assessing HPV viral load and the presence of multiple HPV genotypes in enhancing the diagnostic accuracy of triage in cervical cancer screening. A retrospective analysis was performed on 55 formalin-fixed paraffin-embedded cervical samples collected from women who underwent colposcopy with a biopsy or conization at San Martino Hospital, Genova, Italy, between January and June 2021. Histological diagnoses were compared with molecular analyses (HPV genotyping, viral load quantification and co-infection) using a multiplex real-time PCR platform. Of the samples analyzed, 56.4% were HPV DNA positive, while 40% tested negative. The molecular analysis identified more HPV-negative cases than the histological analysis (<i>p</i> < 0.05). Higher viral loads and HPV co-infections were more frequent in high-grade CIN lesions. These markers may help identify patients at an elevated risk for persistent infections and cancer progression. These findings support the potential of integrating HPV viral load and genotype co-infection assessments into routine cervical cancer screening protocols to improve early detection and reduce overtreatment and unnecessary interventions.

LifeVol. 15(2)
University of Foggia (IT), Istituto Giannina Gaslini (IT), Ospedale Policlinico San Martino (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), University of Genoa (IT)
Good health and well-being
Openalex Percentile: Top 2%
Cervical Cancer and HPV Research
10.83
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.