ArticleNPJ precision oncology2025
Integrated analysis of oral rinse-derived and plasma circulating tumour DNA for mutation profiling and outcome prediction with oral squamous cell carcinoma.
Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Performance of Machine Learning Models for Prognosis Prediction in Oral Cavity Squamous Cell Carcinoma: A Systematic Review.Cancers · 2026Review
- Current Trends in Diagnosis and Early Monitoring of Oral Cavity Cancer: Techniques and Biomarkers.Cancers · 2026Review
- Article
- Dynamic changes in liquid biopsy markers during OSCC treatment: A longitudinal study.Bioinformation · 2026Article
- Saliva-based molecular diagnostics in oral squamous cell carcinoma (OSCC): a non-invasive frontier in oncology.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Review
- Liquid biopsy for the detection of non-viral head and neck squamous cell carcinoma.Translational cancer research · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study evaluates the potential of oral rinse-derived and plasma circulating tumour DNA (ctDNA) in HPV-negative oral squamous cell carcinoma (OSCC), where early recurrence occurs in a significant proportion of patients, contributing to poor prognosis. Analysis of paired tissue, oral rinse, and plasma samples from 123 patients revealed ctDNA detection rates of 94.3% in oral rinse and 80.5% in plasma samples. Combined testing improved mutation detection sensitivity to 48.6%. A machine learning model integrating seven mutated genes (TP53, TERT, IKZF1, EP300, MYC, EGFR, PIK3CA) and clinical factors demonstrated robust prediction of recurrence (validation AUC: 0.854) and survival outcomes. Integration of pretreatment plasma ctDNA status further enhanced predictive performance. In longitudinal analysis, ctDNA detected recurrence approximately four months before clinical manifestation. These findings suggest that integrated ctDNA analysis offers improved mutation profiling and outcome prediction, potentially enabling earlier interventions in OSCC.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.