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Molecular landscape of borderline ovarian tumours: A systematic review.
Sadlecki, Pawel; Walentowicz-Sadlecka, Malgorzata.
Afiliação
  • Sadlecki P; Medical Department, University of Science and Technology, Bydgoszcz, Poland.
  • Walentowicz-Sadlecka M; Department of Obstetrics and Gynecology, Regional Polyclinical Hospital, Grudziadz, Poland.
Open Med (Wars) ; 19(1): 20240976, 2024.
Article em En | MEDLINE | ID: mdl-38859878
ABSTRACT
Borderline ovarian tumours (BOTs) show intriguing characteristics distinguishing them from other ovarian tumours. The aim of the systematic review was to analyse the spectrum of molecular changes found in BOTs and discuss their significance in the context of the overall therapeutic approach. The systematic review included articles published between 2000 and 2023 in the databases PubMed, EMBASE, and Cochrane. After a detailed analysis of the available publications, we qualified for the systematic review 28 publications on proto-oncogenes BRAF, KRAS, NRAS, ERBB2, and PIK3CA, 20 publications on tumour suppressor genes BRCA1/2, ARID1A, CHEK2, PTEN, 4 on adhesion molecules CADM1, 8 on proteins B-catenin, claudin-1, and 5 on glycoproteins E-Cadherin. In addition, in the further part of the systematic review, we included eight publications on microsatellite instability and three describing loss of heterozygosity in BOT. Molecular changes found in BOTs can vary on a case-by-case basis, identifying carcinogenic mutations through molecular analysis and developing targeted therapies represent significant advancements in the diagnosis and treatment of ovarian malignancies. Molecular studies have contributed significantly to our understanding of BOT pathogenesis, but substantial research is still required to elucidate the relationship between ovarian neoplasms and extraneous disease, identify accurate prognostic indicators, and develop targeted therapeutic approaches.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article