Literature DB >> 22987970

Neoadjuvant therapy for ER-positive breast cancers.

M Colleoni1, E Montagna.   

Abstract

ER-positive, HER-2-negative operable breast cancer represents a heterogeneous group of tumors. Tumor subtypes associated with different responses to neoadjuvant therapies can be identified through the evaluation of pathological features that include grade, the degree of expression of estrogen (ER) and progesterone (PgR) receptors and markers of cell proliferation such as Ki67 labeling index. For patients with a high proliferative index and/or a high grade who have a higher likelihood for a pathologic complete response, the selection of neoadjuvant chemotherapy should follow the same algorithm utilized for postoperative adjuvant treatments. In particular, both anthracyclines and taxanes should be evaluated for the chemotherapy regimen. Neoadjuvant endocrine therapy should be considered in place of cytotoxic neoadjuvant therapy for postmenopausal patients with tumors with low grade or proliferation and high ER and PgR expression. If given, such treatment should be continued for a minimum of 4-8 months. Selected patients with special types of breast cancer (e.g. pure tubular, cribriform and mucinous tumors) have a limited expected benefit from preoperative therapy and might receive adjuvant endocrine therapy alone. Tailored neoadjuvant treatments should be considered in patients with ER-positive tumors. Issues focusing on safety, quality of life and patient preference should be routinely discussed.

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Year:  2012        PMID: 22987970     DOI: 10.1093/annonc/mds305

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  13 in total

1.  Additive value of diffusion-weighted MRI in the I-SPY 2 TRIAL.

Authors:  Wen Li; David C Newitt; Lisa J Wilmes; Ella F Jones; Vignesh Arasu; Jessica Gibbs; Bo La Yun; Elizabeth Li; Savannah C Partridge; John Kornak; Laura J Esserman; Nola M Hylton
Journal:  J Magn Reson Imaging       Date:  2019-04-26       Impact factor: 4.813

Review 2.  Breast cancer: molecular mechanisms of underlying resistance and therapeutic approaches.

Authors:  Muhammad Tufail; Jia Cui; Changxin Wu
Journal:  Am J Cancer Res       Date:  2022-07-15       Impact factor: 5.942

Review 3.  Estrogen Receptor Bio-Activities Determine Clinical Endocrine Treatment Options in Estrogen Receptor-Positive Breast Cancer.

Authors:  Song Xia; Qiong Lin
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec

4.  Nogo-B receptor increases the resistance of estrogen receptor positive breast cancer to paclitaxel.

Authors:  Ying Jin; Wenquan Hu; Tong Liu; Ujala Rana; Irene Aguilera-Barrantes; Amanda Kong; Suresh N Kumar; Bei Wang; Pin Gao; Xiang Wang; Yajun Duan; Aiping Shi; Dong Song; Ming Yang; Sijie Li; Bing Han; Gang Zhao; Zhimin Fan; Qing Robert Miao
Journal:  Cancer Lett       Date:  2018-02-02       Impact factor: 8.679

5.  Can positron emission tomography/computed tomography with the dual tracers fluorine-18 fluoroestradiol and fluorodeoxyglucose predict neoadjuvant chemotherapy response of breast cancer?--A pilot study.

Authors:  Zhongyi Yang; Yifei Sun; Jing Xue; Zhifeng Yao; Junyan Xu; Jingyi Cheng; Wei Shi; Beiling Zhu; Yongping Zhang; Yingjian Zhang
Journal:  PLoS One       Date:  2013-10-21       Impact factor: 3.240

Review 6.  Accurate prediction of response to endocrine therapy in breast cancer patients: current and future biomarkers.

Authors:  Cigdem Selli; J Michael Dixon; Andrew H Sims
Journal:  Breast Cancer Res       Date:  2016-12-01       Impact factor: 6.466

Review 7.  Hormonoresistance in advanced breast cancer: a new revolution in endocrine therapy.

Authors:  Paule Augereau; Anne Patsouris; Emmanuelle Bourbouloux; Carole Gourmelon; Sophie Abadie Lacourtoisie; Dominique Berton Rigaud; Patrick Soulié; Jean Sebastien Frenel; Mario Campone
Journal:  Ther Adv Med Oncol       Date:  2017-03-14       Impact factor: 8.168

8.  A nation-wide multicenter 10-year (1999-2008) retrospective clinical study of endocrine therapy for Chinese females with breast cancer.

Authors:  Can Zhou; Jian jun He; Jing Li; Jin hu Fan; Bin Zhang; Hong jian Yang; Xiao ming Xie; Zhong hua Tang; Hui Li; Jia yuan Li; Shu lian Wang; You lin Qiao; Rong Huang; Pin Zhang
Journal:  PLoS One       Date:  2014-07-18       Impact factor: 3.240

9.  Prognostic values of the mRNA expression of natural killer receptor ligands and their association with clinicopathological features in breast cancer patients.

Authors:  Ali Abouelghar; Reem Hasnah; Ghina Taouk; Mohamad Saad; Manale Karam
Journal:  Oncotarget       Date:  2018-06-05

10.  Long non-coding RNA, LINC01614 as a potential biomarker for prognostic prediction in breast cancer.

Authors:  Yaozong Wang; Baorong Song; Leilei Zhu; Xia Zhang
Journal:  PeerJ       Date:  2019-11-14       Impact factor: 2.984

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