Evidence map›Paper›PMID 41364259›Full record

ArticleClinical oral investigations2025

Integrating genotype-phenotype correlations into the diagnostic workflow of odontogenic tumors and cysts: insights from a 69 lesion cohort.

Sibel Elif Gültekin, Burcu Toközlü, Carina Heydt, Reinhard Büttner

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Article in Clinical oral investigations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sibel Elif GültekinFaculty of Dentistry, Department of Oral Pathology, Gazi University, Ankara, 06510, Turkey. sibelg@gazi.edu.tr.ORCID http://orcid.org/0000-0002-0732-3617
Burcu ToközlüFaculty of Dentistry, Department of Oral Pathology, Gazi University, Ankara, 06510, Turkey.ORCID http://orcid.org/0000-0003-1507-4662
Carina HeydtFaculty of Medicine, Institute of Pathology, University of Cologne, Cologne, Germany.ORCID http://orcid.org/0000-0003-3184-9579
Reinhard BüttnerFaculty of Medicine, Institute of Pathology, University of Cologne, Cologne, Germany. reinhard.buettner@uk-koeln.de.ORCID http://orcid.org/0000-0001-8806-4786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOdontogenic tumors (OTs) represent a heterogeneous group of lesions ranging from hamartomatous or non-neoplastic proliferations to benign and malignant neoplasms with metastatic potential. Their classification remains challenging due to morphological and molecular variability. In this study, we performed comprehensive molecular profiling of odontogenic lesions—excluding previously analyzed ameloblastomas—to identify genomic alterations that define molecular subtypes and evaluate their diagnostic significance and potential therapeutic implications. MATERIALS AND

methodsA total of 88 odontogenic lesions were analyzed, including 25 cysts and 63 benign or malignant tumors, classified according to the 2022 5th edition of the World Health Organization (WHO) classification. Targeted next-generation sequencing (NGS) was performed to detect somatic mutations. Mutational patterns were correlated with histological subtypes and clinical parameters such as age, gender, lesion location, and recurrence.

resultsSomatic mutations were identified in 46 of 69 lesions successfully sequenced (66.7%). Among malignant tumors, genomic alterations—including gene fusions and mutations—were detected in 75% of cases. The highest mutation frequency was observed in OTs of epithelial origin. Notably, 11 of the 46 mutated cases harbored concurrent alterations in two genes.

conclusionsMolecular profiling serves as a valuable diagnostic adjunct in evaluating odontogenic tumors and cysts. Incorporating mutational analysis into routine workflows may enhance diagnostic precision, particularly in small or ambiguous biopsies, and may provide preliminary insights for future development of targeted therapeutic approaches. CLINICAL RELEVANCE: This study highlights the diagnostic value of integrating somatic mutation analysis into the standard evaluation of odontogenic lesions and highlights its potential adjunctive role in diagnostically challenging cases and as a basis for future therapeutic investigations.

Indexed as

Genetic Association StudiesOdontogenic CystsOdontogenic TumorsAdolescentAdultAgedChildCohort StudiesDNA Mutational AnalysisFemaleGenotypeHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutationDiagnostic pathologyMolecular profilingNext-generation sequencingOdontogenic cystsOdontogenic tumorsSomatic mutations

Identifiers

PMID41364259
PMCPMC12689768

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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.