Novel FANCI and RAD54B Variants and the Observed Clinical Outcomes in a Hungarian Melanoma Cohort
Accumulating evidence suggests that inherited melanoma is not rare and approx. one in seven individuals with melanoma has clinically relevant hereditable cancer-predisposing and/or -susceptibility variant(s). Concerning its germline genetic background, genetic screening aims to identify either variants of predisposing genes with high penetrance or variants of susceptibility genes with medium or low penetrance. However, less attention is paid to genetic testing of germline variants of genes influencing patients' survival outcomes or enhancing the design of new therapies. We aimed to investigate whether the germline genetic background of a Hungarian melanoma cohort (<i>n</i> = 17) contains any pathogenic or likely pathogenic variants of the <i>BRCA2</i>, <i>POLE</i>, <i>WRN</i>, <i>FANCI</i>, <i>PALB2</i>, and <i>RAD54B</i> genes and if the presence of these variants correlate with the clinical findings of the patients, including the advanced stage of melanoma, poor prognosis, and poor survival. We identified three novel variants in the <i>FANCI</i> gene and one novel variant in the <i>RAD54B</i> gene. We detected rapid disease progression, unfavorable outcome, and therapeutic resistance in the patient carrying the likely pathogenic <i>FANCI</i> variant. Our study highlights the importance of screening germline variants of genes influencing melanoma progression, therapy resistance, and survival of patients.
Authors
- Margit Pál (ORCID: https://orcid.org/0000-0003-3662-0837)
- Zita Battyáni (ORCID: https://orcid.org/0000-0002-5570-6831)
- Barbara Anna Bokor (ORCID: https://orcid.org/0009-0002-0824-1047)
- Nikoletta Nagy (ORCID: https://orcid.org/0000-0001-8576-7953)
- Márta Széll (ORCID: https://orcid.org/0000-0002-0730-714X)
- Aliasgari Abdolreza
- Flóra Kaptás (ORCID: https://orcid.org/0000-0003-1997-1213)
Institutions
- University of Szeged (HU)
- Somogy Megyei Kaposi Mór Oktató Kórház (HU)
Publication Details
- Journal
- International Journal of Molecular Sciences
- Published
- 2024-12-24
- DOI
- https://doi.org/10.3390/ijms26010023
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.36
Funders
- Magyarország Kormánya