Literature DB >> 19561006

A 2009 update on the treatment of patients with hormone receptor-positive breast cancer.

Susan J Cleator1, Eliyaz Ahamed, R Charles Coombes, Carlo Palmieri.   

Abstract

In up to 75% of breast cancers, estrogen receptor (ER) signaling is a key promoter of tumor proliferation, and inhibition of this pathway has clear therapeutic efficacy. The principal clinical means of inhibiting ER signaling comprise selective ER modulators, such as tamoxifen, that act as partial receptor agonists; measures to reduce the circulating level of estrogen, including ovarian ablation, gonadotropin-releasing hormone analogues, and aromatase inhibition; and antagonism and downregulation of ER by the antiestrogen fulvestrant. Each of these therapies is effective in a proportion of ER-positive breast cancers, but de novo and acquired resistance remain significant problems. Emerging knowledge of the biology of ER signaling will provide insights into the mechanisms of resistance and help guide development of therapeutic strategies to maximize response. This review summarizes the contemporary treatment of early-stage and advanced ER-positive breast cancer in premenopausal and postmenopausal women, with an emphasis on recently published or presented data. Mechanisms of resistance to endocrine interventions and trials exploring strategies to overcome them will also be discussed.

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Year:  2009        PMID: 19561006     DOI: 10.3816/CBC.2009.s.001

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  37 in total

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Authors:  John J Ryan; Benjamin L Dows; Michael V Kirk; Xueming Chen; Jeffrey R Eastman; Rodney J Dyer; Lemont B Kier
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3.  Role of goserelin in combination with endocrine therapy for the treatment of advanced breast cancer in premenopausal women positive for hormone receptor: a retrospective matched case-control study.

Authors:  Sangang Wu; Qun Li; Yuliang Zhu; Jiayuan Sun; Fengyan Li; Huanxin Lin; Xunxing Guan; Zhenyu He
Journal:  Cancer Biother Radiopharm       Date:  2013-06-27       Impact factor: 3.099

4.  Cediranib in combination with fulvestrant in hormone-sensitive metastatic breast cancer: a randomized Phase II study.

Authors:  David M Hyams; Arlene Chan; Celia de Oliveira; Raymond Snyder; Jeferson Vinholes; M William Audeh; Victor M Alencar; Janine Lombard; Bijoyesh Mookerjee; John Xu; Kathryn Brown; Paula Klein
Journal:  Invest New Drugs       Date:  2013-06-26       Impact factor: 3.850

5.  Induction of HEXIM1 activities by HMBA derivative 4a1: Functional consequences and mechanism.

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6.  A five-gene model predicts clinical outcome in ER+/PR+, early-stage breast cancers treated with adjuvant tamoxifen.

Authors:  Daniel Alan Kerr; James L Wittliff
Journal:  Horm Cancer       Date:  2011-10       Impact factor: 3.869

7.  IGF1R signaling drives antiestrogen resistance through PAK2/PIX activation in luminal breast cancer.

Authors:  Yinghui Zhang; Lynn Wester; Jichao He; Tamar Geiger; Marja Moerkens; Ram Siddappa; Jean A Helmijr; Mieke M Timmermans; Maxime P Look; Caroline H M van Deurzen; John W M Martens; Chantal Pont; Marjo de Graauw; Erik H J Danen; Els M J J Berns; John H N Meerman; Maurice P H M Jansen; Bob van de Water
Journal:  Oncogene       Date:  2018-01-22       Impact factor: 9.867

8.  Changes in invasive breast cancer and ductal carcinoma in situ rates in relation to the decline in hormone therapy use.

Authors:  Ghada N Farhat; Rod Walker; Diana S M Buist; Tracy Onega; Karla Kerlikowske
Journal:  J Clin Oncol       Date:  2010-11-08       Impact factor: 44.544

9.  Fish oil alters tamoxifen-modulated expression of mRNAs that encode genes related to differentiation, proliferation, metastasis, and immune response in rat mammary tumors.

Authors:  Lucas Tadeu Bidinotto; Ricardo López de Cicco; Johana Erika Vanegas; Julia Santucci-Pereira; John Patrick Vanden Heuvel; Sharlene Washington; Cesar Aliaga; Haifang Xu; Irma H Russo; Andrea Manni; Karam El-Bayoumy; Jose Russo
Journal:  Nutr Cancer       Date:  2012       Impact factor: 2.900

10.  An algorithm for classifying tumors based on genomic aberrations and selecting representative tumor models.

Authors:  Xin Lu; Ke Zhang; Charles Van Sant; John Coon; Dimitri Semizarov
Journal:  BMC Med Genomics       Date:  2010-06-22       Impact factor: 3.063

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