Literature DB >> 11104455

Is mammography indicated for women with defective BRCA genes? Implications of recent scientific advances for the diagnosis, treatment, and prevention of hereditary breast cancer.

B Friedenson1.   

Abstract

About 5% of breast cancer patients have inherited their disease because of a mutation in genes encoding either the BRCA-1 or BRCA-2 proteins. Inheriting one of these mutations confers a 50% to 87% risk of breast cancer. Many physicians faced with such a patient would, at a minimum, suggest increased and earlier screening for breast cancer by routine mammography.[1] Normally, regular mammographic screening combined with appropriate and prompt treatment can reduce mortality from breast cancer by 30% in women aged 50-59 years and by about 14%-18% in women aged 40-49. There are no controlled clinical trials for screening young women who have multiple first-degree relatives developing breast cancer before age 45, or those known to carry BRCA-1 or BRCA-2 mutations. In fact, recent advances point out that BRCA-1 and BRCA-2 gene products are needed to repair radiation damage to DNA.[4,5] Based on this finding, I propose that women with defective BRCA genes are likely to have an inordinate sensitivity to radiation, and this raises a question about the advisability of routinely screening these women by frequent mammography.

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Year:  2000        PMID: 11104455

Source DB:  PubMed          Journal:  MedGenMed        ISSN: 1531-0132


  5 in total

1.  [Breast cancer screening].

Authors:  Andreu Segura
Journal:  Aten Primaria       Date:  2006-09-30       Impact factor: 1.137

2.  Assessing and managing breast cancer risk: clinical tools for advising patients.

Authors:  Bernard Friedenson
Journal:  MedGenMed       Date:  2004-01-14

Review 3.  New insights into breast cancer genetics and impact on patient management.

Authors:  Diana S Rosman; Virginia Kaklamani; Boris Pasche
Journal:  Curr Treat Options Oncol       Date:  2007-02

4.  Breast Cancer in Canadian Women.

Authors:  Heather Bryant
Journal:  BMC Womens Health       Date:  2004-08-25       Impact factor: 2.809

5.  Detecting Vasodilation as Potential Diagnostic Biomarker in Breast Cancer Using Deep Learning-Driven Thermomics.

Authors:  Bardia Yousefi; Hamed Akbari; Xavier P V Maldague
Journal:  Biosensors (Basel)       Date:  2020-10-31
  5 in total

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