Literature DB >> 22144468

Molecular biomarkers of risk in premalignancy and breast cancer prevention.

D Craig Allred1.   

Abstract

About 50,000 U.S. women are diagnosed with breast atypical hyperplasia each year, giving them about a six-fold increased relative risk of developing invasive breast cancer (IBC) compared with age-matched controls. Still, only a small fraction of patients with atypical hyperplasia ever progress to IBC, which is a major reason why a large majority do not participate in breast cancer prevention, despite the remarkable effectiveness of currently available risk-reducing therapies. An interesting study reported by Radisky and colleagues in this issue of the journal (beginning on page 1953) evaluated expression levels of p16(ink4a) in atypical hyperplasia for more accurately predicting risk--hoping to identify high-risk patients who will benefit most from therapy while sparing those with lower risk from unnecessary therapy. Unfortunately, p16(ink4a) expression was not prognostic in this particular study, although research to identify powerful biomarkers of risk remains a high priority. Fortunately, there are many other promising biomarkers under investigation, as well as several underutilized experimental strategies which could help promote successful breast cancer prevention. 2011 AACR

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Year:  2011        PMID: 22144468     DOI: 10.1158/1940-6207.CAPR-11-0478

Source DB:  PubMed          Journal:  Cancer Prev Res (Phila)        ISSN: 1940-6215


  3 in total

Review 1.  Current management of lesions associated with an increased risk of breast cancer.

Authors:  Monica Morrow; Stuart J Schnitt; Larry Norton
Journal:  Nat Rev Clin Oncol       Date:  2015-01-27       Impact factor: 66.675

2.  Immunoexpression analysis and prognostic value of BLCAP in breast cancer.

Authors:  Irina Gromova; Pavel Gromov; Niels Kroman; Vera Timmermans Wielenga; Ronald Simon; Guido Sauter; José M A Moreira
Journal:  PLoS One       Date:  2012-09-25       Impact factor: 3.240

3.  Atypical ductal hyperplasia and the risk of underestimation: tissue sampling method, multifocality, and associated calcification significantly influence the diagnostic upgrade rate based on subsequent surgical specimens.

Authors:  Christoph J Rageth; Ravit Rubenov; Cristian Bronz; Daniel Dietrich; Christoph Tausch; Ann-Katrin Rodewald; Zsuzsanna Varga
Journal:  Breast Cancer       Date:  2018-12-27       Impact factor: 4.239

  3 in total

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