The Fanconi anemia pathway and Breast Cancer: A comprehensive review of clinical data
| Autor: | Evangelia Matenoglou, James M. Mumford, Panagiota Gianni, Ernesto P. Molmenti, Georgios Geropoulos, Harsha Adnani, Nirav Agrawal, Santiago J. Miyara, Sara Guevara, Stefanos Zafeiropoulos, Dimitrios Giannis |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Genome instability
Cancer Research DNA repair business.industry DNA damage Breast Neoplasms medicine.disease medicine.disease_cause Fanconi Anemia Complementation Group Proteins Genomic Instability Biomarker Breast cancer Fanconi Anemia Oncology Fanconi anemia Chromosomal Instability Mutation medicine Cancer research Humans Female business Carcinogenesis Gene DNA Damage |
| Zdroj: | Clinical breast cancer. 22(1) |
| ISSN: | 1938-0666 |
| Popis: | The development of breast cancer depends on several risk factors, including environmental, lifestyle and genetic factors. Despite the evolution of DNA sequencing techniques and biomarker detection, the epidemiology and mechanisms of various breast cancer susceptibility genes have not been elucidated yet. Dysregulation of the DNA damage response causes genomic instability and increases the rate of mutagenesis and the risk of carcinogenesis. The Fanconi Anemia (FA) pathway is an important component of the DNA damage response and plays a critical role in the repair of DNA interstrand crosslinks and genomic stability. The FA pathway involves 22 recognized genes and specific mutations have been identified as the underlying defect in the majority of FA patients. A thorough understanding of the function and epidemiology of these genes in breast cancer is critical for the development and implementation of individualized therapies that target unique tumor profiles. Targeted therapies (PARP inhibitors) exploiting the FA pathway gene defects have been developed and have shown promising results. This narrative review summarizes the current literature on the involvement of FA genes in sporadic and familial breast cancer with a focus on clinical data derived from large cohorts. |
| Databáze: | OpenAIRE |
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