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Beyond the conventional: the efficacy of liquid biopsy in post-therapeutic monitoring of oropharyngeal cancer, a meta-analysis

Published online by Cambridge University Press:  11 December 2025

Sabina Dranova*
Affiliation:
Frimley Park Hospital, Surrey, UK
*
Corresponding author: Sabina Dranova; Email: neosabina@inbox.lv
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Abstract

Objectives

This study aimed to evaluate the diagnostic and surveillance performance of circulating tumour human papillomavirus DNA for post-treatment monitoring of human papilloma virus–positive oropharyngeal squamous cell carcinoma.

Methods

Systematic review and meta-analysis of prospective studies (2019–2024) identified from PubMed, Web of Science and Scopus. Random-effects models were used to pool circulating tumour human papillomavirus DNA detectability and summarise lead-times to recurrence.

Results

Fifteen studies (n=1,447) were included; 10 cohorts (n=731) entered the quantitative meta-analysis. Pooled baseline detectability was 85.5 per cent (95 per cent confidence interval 78.2–90.6). Circulating tumour human papillomavirus DNA positivity preceded clinical recurrence by a mean of 76.8 days (median 87.5). Specificity and negative predictive value were consistently high, whereas sensitivity varied by assay platform and sampling frequency.

Conclusion

Serial circulating tumour human papilloma virus DNA testing is a reliable adjunct to post-treatment surveillance in HPV-positive oropharyngeal squamous cell carcinoma, offering a clinically meaningful lead-time to recurrence. Standardised assays and multicentre validation are warranted.

Information

Type
Review Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of J.L.O. (1984) LIMITED.
Figure 0

Figure 1. Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) style flow diagram of the study retrieval and selection process.

Figure 1

Table 1. Main characteristics of the included studies

Figure 2

Table 2. Studies included in meta-analysis

Figure 3

Figure 2. Forest plots with pooled random-effects estimate.