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.

Základní údaje

Originální název

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

Autoři

HURNÍK, Pavel (203 Česká republika, domácí), Jana REŽNAROVÁ (203 Česká republika), Zuzana CHYRA (203 Česká republika), Oldřich MOTYKA (203 Česká republika), Barbora MOLDOVAN PUTNOVÁ (203 Česká republika), Zuzana ČERMÁKOVÁ (203 Česká republika), Tomáš BLAŽEK (203 Česká republika), Martin FOMÁNEK (203 Česká republika), Daria GAYKALOVA (203 Česká republika), Marcela BUCHTOVÁ (203 Česká republika, domácí), Tereza ŠEVČÍKOVÁ (203 Česká republika) a Jan ŠTEMBÍREK (203 Česká republika, garant)

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30204 Oncology

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 4.700 v roce 2022

Kód RIV

RIV/00216224:14310/23:00133153

Organizační jednotka

Přírodovědecká fakulta

UT WoS

001136452500001

Klíčová slova anglicky

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

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 19. 3. 2024 08:32, Mgr. Marie Šípková, DiS.

Anotace

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.