J 2023

Enhancing oral squamous cell carcinoma prediction: the prognostic power of the worst pattern of invasion and the limited impact of molecular resection margins

HURNÍK, Pavel, Jana REŽNAROVÁ, Zuzana CHYRA, Oldřich MOTYKA, Barbora MOLDOVAN PUTNOVÁ et. al.

Basic information

Original name

Enhancing oral squamous cell carcinoma prediction: the prognostic power of the worst pattern of invasion and the limited impact of molecular resection margins

Authors

HURNÍK, Pavel (203 Czech Republic, belonging to the institution), Jana REŽNAROVÁ (203 Czech Republic), Zuzana CHYRA (203 Czech Republic), Oldřich MOTYKA (203 Czech Republic), Barbora MOLDOVAN PUTNOVÁ (203 Czech Republic), Zuzana ČERMÁKOVÁ (203 Czech Republic), Tomáš BLAŽEK (203 Czech Republic), Martin FOMÁNEK (203 Czech Republic), Daria GAYKALOVA (203 Czech Republic), Marcela BUCHTOVÁ (203 Czech Republic, belonging to the institution), Tereza ŠEVČÍKOVÁ (203 Czech Republic) and Jan ŠTEMBÍREK (203 Czech Republic, guarantor)

Edition

Frontiers in Oncology, LAUSANNE, Frontiers Media SA, 2023, 2234-943X

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30204 Oncology

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 4.700 in 2022

RIV identification code

RIV/00216224:14310/23:00133153

Organization unit

Faculty of Science

UT WoS

001136452500001

Keywords in English

orofacial oncology; squamous cell carcinoma; mutation; surgical margins; biomarkers

Tags

International impact, Reviewed
Změněno: 19/3/2024 08:32, Mgr. Marie Šípková, DiS.

Abstract

V originále

Objective Oral squamous cell carcinoma (OSCC) originates from the mucosal lining of the oral cavity. Almost half of newly diagnosed cases are classified as advanced stage IV disease, which makes resection difficult. In this study, we investigated the pathological features and mutation profiles of tumor margins in OSCC. Methods We performed hierarchical clustering of principal components to identify distinct patterns of tumor growth and their association with patient prognosis. We also used next-generation sequencing to analyze somatic mutations in tumor and marginal tissue samples. Results Our analyses uncovered that the grade of worst pattern of invasion (WPOI) is strongly associated with depth of invasion and patient survival in multivariable analysis. Mutations were primarily detected in the DNA isolated from tumors, but several mutations were also identified in marginal tissue. In total, we uncovered 29 mutated genes, mainly tumor suppressor genes involved in DNA repair including BRCA genes; however none of these mutations significantly correlated with a higher chance of relapse in our medium-size cohort. Some resection margins that appeared histologically normal harbored tumorigenic mutations in TP53 and CDKN2A genes. Conclusion Even histologically normal margins may contain molecular alterations that are not detectable by conventional histopathological methods, but NCCN classification system still outperforms other methods in the prediction of the probability of disease relapse.