Evidence map›Paper›PMID 38412584›Full record

ArticleOral oncology2024

Mutation detection in saliva from oral cancer patients.

Ahmed A Ahmed, Mateja Sborchia, Hannah Bye, Maria Roman-Escorza, Ariella Amar, Rhonda Henley-Smith, Edward Odell, Mark McGurk, Michael Simpson, Tony Ng and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Oral oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Ahmed A AhmedSchool of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, Guy's Cancer Centre, King's College London, London SE1 9RT, United Kingdom. Electronic address: ahmed.a.ahmed@kcl.ac.uk.
Mateja SborchiaSchool of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, Guy's Cancer Centre, King's College London, London SE1 9RT, United Kingdom.
Hannah ByeDepartment of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London SE1 9RT, United Kingdom.
Maria Roman-EscorzaSchool of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, Guy's Cancer Centre, King's College London, London SE1 9RT, United Kingdom.
Ariella AmarDepartment of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London SE1 9RT, United Kingdom.
Rhonda Henley-SmithKHP Head & Neck Cancer Biobank, Guy's & St Thomas' NHS Foundation Trust, Guy's Hospital, London SE1 9RT, United Kingdom.
Edward OdellKing's College London and Head and Neck Pathology Guy's Hospital, London SE1 9RT, United Kingdom.
Mark McGurkDepartment of Head and Neck Surgery, University College London Hospital, London NW1 2BU, United Kingdom.
Michael SimpsonDepartment of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London SE1 9RT, United Kingdom.
Tony NgRichard Dimbleby Laboratory of Cancer Research, School of Cancer and Pharmaceutical Sciences, King's College London, Guy's Medical School Campus, London SE1 1UL, United Kingdom.
Elinor J SawyerSchool of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, Guy's Cancer Centre, King's College London, London SE1 9RT, United Kingdom.
Christopher G MathewDepartment of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London SE1 9RT, United Kingdom; Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa.
King's College London · GBGuy's Hospital · GBUniversity College Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe incidence of head and neck squamous cell carcinoma (HNSCC) continues to increase and although advances have been made in treatment, it still has a poor overall survival with local relapse being common. Conventional imaging methods are not efficient at detecting recurrence at an early stage when still potentially curable. The aim of this study was to test the feasibility of using saliva to detect the presence of oral squamous cell carcinoma (OSCC) and to provide additional evidence for the potential of this approach. MATERIALS AND

methodsFresh tumor, whole blood and saliva were collected from patients with OSCC before treatment. Whole exome sequencing (WES) or gene panel sequencing of tumor DNA was performed to identify somatic mutations in tumors and to select genes for performing gene panel sequencing on saliva samples.

resultsThe most commonly mutated genes identified in primary tumors by DNA sequencing were TP53 and FAT1. Gene panel sequencing of paired saliva samples detected tumor derived mutations in 9 of 11 (82%) patients. The mean variant allele frequency for the mutations detected in saliva was 0.025 (range 0.004 - 0.061).

conclusionSomatic tumor mutations can be detected in saliva with high frequency in OSCC irrespective of site or stage of disease using a limited panel of genes. This work provides additional evidence for the suitability of using saliva as liquid biopsy in OSCC and has the potential to improve early detection of recurrence in OSCC. Trials are currently underway comparing this approach to standard imaging techniques.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsMouth NeoplasmsBiomarkers, TumorHumansMutationNeoplasm Recurrence, LocalSalivaSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorCell-free DNACirculating tumor DNAEarly detectionHead and neck squamous cell carcinoma HNSCCOral squamous cell carcinoma OSCCSaliva

Identifiers

PMID38412584
PMCPMC11393295
OpenAlexW4392180652

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.