Literature DB >> 25517358

Update on breast cancer risk prediction and prevention.

Ivana Sestak1, Jack Cuzick.   

Abstract

PURPOSE OF REVIEW: Breast cancer is the most common cancer in women worldwide. This review will focus on current prevention strategies for women at high risk. RECENT
FINDINGS: The identification of women who are at high risk of developing breast cancer is key to breast cancer prevention. Recent findings have shown that the inclusion of breast density and a panel of low-penetrance genetic polymorphisms can improve risk estimation compared with previous models. Preventive therapy with aromatase inhibitors has produced large reductions in breast cancer incidence in postmenopausal women. Tamoxifen confers long-term protection and is the only proven preventive treatment for premenopausal women. Several other agents, including metformin, bisphosphonates, aspirin and statins, have been found to be effective in nonrandomized settings.
SUMMARY: There are many options for the prevention of oestrogen-positive breast cancer, in postmenopausal women who can be given a selective oestrogen receptor modulator or an aromatase inhibitor. It still remains unclear how to prevent oestrogen-negative breast cancer, which occurs more often in premenopausal women. Identification of women at high risk of the disease is crucial, and the inclusion of breast density and a panel of genetic polymorphisms, which individually have low penetrance, can improve risk assessment.

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Year:  2015        PMID: 25517358     DOI: 10.1097/GCO.0000000000000153

Source DB:  PubMed          Journal:  Curr Opin Obstet Gynecol        ISSN: 1040-872X            Impact factor:   1.927


  7 in total

Review 1.  Challenges and Potential for Ovarian Preservation with SERMs.

Authors:  Alison Y Ting; Brian K Petroff
Journal:  Biol Reprod       Date:  2015-03-25       Impact factor: 4.285

2.  Risk-reducing medications for primary breast cancer: a network meta-analysis.

Authors:  Simone Mocellin; Annabel Goodwin; Sandro Pasquali
Journal:  Cochrane Database Syst Rev       Date:  2019-04-29

3.  Mammographic density and breast cancer risk by family history in women of white and Asian ancestry.

Authors:  Gertraud Maskarinec; Kaylae L Nakamura; Christy G Woolcott; Shannon M Conroy; Celia Byrne; Chisato Nagata; Giske Ursin; Celine M Vachon
Journal:  Cancer Causes Control       Date:  2015-03-12       Impact factor: 2.506

Review 4.  Hereditary breast and ovarian cancer: new genes in confined pathways.

Authors:  Finn Cilius Nielsen; Thomas van Overeem Hansen; Claus Storgaard Sørensen
Journal:  Nat Rev Cancer       Date:  2016-08-12       Impact factor: 60.716

5.  Downregulated miR-495 [Corrected] Inhibits the G1-S Phase Transition by Targeting Bmi-1 in Breast Cancer.

Authors:  Lan Wang; Jun-Ling Liu; Liang Yu; Xiang-Xia Liu; Hong-Mei Wu; Fang-Yong Lei; Shu Wu; Xi Wang
Journal:  Medicine (Baltimore)       Date:  2015-05       Impact factor: 1.889

6.  Redistribution of the SWI/SNF Complex Dictates Coordinated Transcriptional Control over Epithelial-Mesenchymal Transition of Normal Breast Cells through TGF-β Signaling.

Authors:  Sham Jdeed; Máté Lengyel; Iván P Uray
Journal:  Cells       Date:  2022-08-24       Impact factor: 7.666

Review 7.  Applications of RNA Indexes for Precision Oncology in Breast Cancer.

Authors:  Liming Ma; Zirui Liang; Hui Zhou; Lianghu Qu
Journal:  Genomics Proteomics Bioinformatics       Date:  2018-05-09       Impact factor: 7.691

  7 in total

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