Literature DB >> 21555689

Randomized phase II neoadjuvant comparison between letrozole, anastrozole, and exemestane for postmenopausal women with estrogen receptor-rich stage 2 to 3 breast cancer: clinical and biomarker outcomes and predictive value of the baseline PAM50-based intrinsic subtype--ACOSOG Z1031.

Matthew J Ellis1, Vera J Suman, Jeremy Hoog, Li Lin, Jacqueline Snider, Aleix Prat, Joel S Parker, Jingqin Luo, Katherine DeSchryver, D Craig Allred, Laura J Esserman, Gary W Unzeitig, Julie Margenthaler, Gildy V Babiera, P Kelly Marcom, Joseph M Guenther, Mark A Watson, Marilyn Leitch, Kelly Hunt, John A Olson.   

Abstract

PURPOSE: Preoperative aromatase inhibitor (AI) treatment promotes breast-conserving surgery (BCS) for estrogen receptor (ER)-positive breast cancer. To study this treatment option, responses to three AIs were compared in a randomized phase II neoadjuvant trial designed to select agents for phase III investigations. PATIENTS AND METHODS: Three hundred seventy-seven postmenopausal women with clinical stage II to III ER-positive (Allred score 6-8) breast cancer were randomly assigned to receive neoadjuvant exemestane, letrozole, or anastrozole. The primary end point was clinical response. Secondary end points included BCS, Ki67 proliferation marker changes, the Preoperative Endocrine Prognostic Index (PEPI), and PAM50-based intrinsic subtype analysis.
RESULTS: On the basis of clinical response rates, letrozole and anastrozole were selected for further investigation; however, no other differences in surgical outcome, PEPI score, or Ki67 suppression were detected. The BCS rate for mastectomy-only patients at presentation was 51%. PAM50 analysis identified AI-unresponsive nonluminal subtypes (human epidermal growth factor receptor 2 enriched or basal-like) in 3.3% of patients. Clinical response and surgical outcomes were similar in luminal A (LumA) versus luminal B tumors; however, a PEPI of 0 (best prognostic group) was highest in the LumA subset (27.1% v 10.7%; P = .004).
CONCLUSION: Neoadjuvant AI treatment markedly improved surgical outcomes. Ki67 and PEPI data demonstrated that the three agents tested are biologically equivalent and therefore likely to have similar adjuvant activities. LumA tumors were more likely to have favorable biomarker characteristics after treatment; however, occasional paradoxical increases in Ki67 (12% of tumors with > 5% increase after therapy) suggest treatment-resistant cells, present in some LumA tumors, can be detected by post-treatment profiling.

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Year:  2011        PMID: 21555689      PMCID: PMC3107749          DOI: 10.1200/JCO.2010.31.6950

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  25 in total

1.  Clinical implementation of the intrinsic subtypes of breast cancer.

Authors:  Charles M Perou; Joel S Parker; Aleix Prat; Matthew J Ellis; Philip S Bernard
Journal:  Lancet Oncol       Date:  2010-08       Impact factor: 41.316

2.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

3.  A comparison of PAM50 intrinsic subtyping with immunohistochemistry and clinical prognostic factors in tamoxifen-treated estrogen receptor-positive breast cancer.

Authors:  Torsten O Nielsen; Joel S Parker; Samuel Leung; David Voduc; Mark Ebbert; Tammi Vickery; Sherri R Davies; Jacqueline Snider; Inge J Stijleman; Jerry Reed; Maggie C U Cheang; Elaine R Mardis; Charles M Perou; Philip S Bernard; Matthew J Ellis
Journal:  Clin Cancer Res       Date:  2010-09-13       Impact factor: 12.531

4.  Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial.

Authors:  Kathy S Albain; William E Barlow; Steven Shak; Gabriel N Hortobagyi; Robert B Livingston; I-Tien Yeh; Peter Ravdin; Roberto Bugarini; Frederick L Baehner; Nancy E Davidson; George W Sledge; Eric P Winer; Clifford Hudis; James N Ingle; Edith A Perez; Kathleen I Pritchard; Lois Shepherd; Julie R Gralow; Carl Yoshizawa; D Craig Allred; C Kent Osborne; Daniel F Hayes
Journal:  Lancet Oncol       Date:  2009-12-10       Impact factor: 41.316

Review 5.  Neoadjuvant endocrine therapy in primary breast cancer: indications and use as a research tool.

Authors:  Y H Chia; M J Ellis; C X Ma
Journal:  Br J Cancer       Date:  2010-08-10       Impact factor: 7.640

6.  Improved surgical outcomes for breast cancer patients receiving neoadjuvant aromatase inhibitor therapy: results from a multicenter phase II trial.

Authors:  John A Olson; G Thomas Budd; Lisa A Carey; Lyndsay A Harris; Laura J Esserman; Gini F Fleming; Paul K Marcom; George S Leight; Therese Giuntoli; Paul Commean; Kyongtae Bae; Jingqin Luo; Matthew J Ellis
Journal:  J Am Coll Surg       Date:  2009-05       Impact factor: 6.113

7.  Predictors of complete pathological response after neoadjuvant systemic therapy for breast cancer.

Authors:  Marcus C Tan; Fatema Al Mushawah; Feng Gao; Rebecca L Aft; William E Gillanders; Timothy J Eberlein; Julie A Margenthaler
Journal:  Am J Surg       Date:  2009-10       Impact factor: 2.565

8.  Preoperative systemic chemotherapy and pathologic assessment of response.

Authors:  Lajos Pusztai
Journal:  Pathol Oncol Res       Date:  2008-06-13       Impact factor: 3.201

9.  Breast cancer molecular profiling with single sample predictors: a retrospective analysis.

Authors:  Britta Weigelt; Alan Mackay; Roger A'hern; Rachael Natrajan; David S P Tan; Mitch Dowsett; Alan Ashworth; Jorge S Reis-Filho
Journal:  Lancet Oncol       Date:  2010-02-22       Impact factor: 41.316

10.  Outcome prediction for estrogen receptor-positive breast cancer based on postneoadjuvant endocrine therapy tumor characteristics.

Authors:  Matthew J Ellis; Yu Tao; Jingqin Luo; Roger A'Hern; Dean B Evans; Ajay S Bhatnagar; Hilary A Chaudri Ross; Alexander von Kameke; William R Miller; Ian Smith; Wolfgang Eiermann; Mitch Dowsett
Journal:  J Natl Cancer Inst       Date:  2008-09-23       Impact factor: 13.506

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  169 in total

Review 1.  Practical implications of gene-expression-based assays for breast oncologists.

Authors:  Aleix Prat; Matthew J Ellis; Charles M Perou
Journal:  Nat Rev Clin Oncol       Date:  2011-12-06       Impact factor: 66.675

Review 2.  Hormonal therapy in breast cancer: a model disease for the personalization of cancer care.

Authors:  Shannon Puhalla; Saveri Bhattacharya; Nancy E Davidson
Journal:  Mol Oncol       Date:  2012-02-24       Impact factor: 6.603

3.  A Phase II Study of 3'-Deoxy-3'-18F-Fluorothymidine PET in the Assessment of Early Response of Breast Cancer to Neoadjuvant Chemotherapy: Results from ACRIN 6688.

Authors:  Lale Kostakoglu; Fenghai Duan; Michael O Idowu; Paul R Jolles; Harry D Bear; Mark Muzi; Jean Cormack; John P Muzi; Daniel A Pryma; Jennifer M Specht; Linda Hovanessian-Larsen; John Miliziano; Sharon Mallett; Anthony F Shields; David A Mankoff
Journal:  J Nucl Med       Date:  2015-09-10       Impact factor: 10.057

Review 4.  Potential applications for biguanides in oncology.

Authors:  Michael Pollak
Journal:  J Clin Invest       Date:  2013-09-03       Impact factor: 14.808

Review 5.  Landscape of neoadjuvant therapy for breast cancer.

Authors:  Tufia C Haddad; Matthew P Goetz
Journal:  Ann Surg Oncol       Date:  2015-03-02       Impact factor: 5.344

6.  Exemestane in the prevention setting.

Authors:  Jennifer Keating Litton; Therese B Bevers; Banu K Arun
Journal:  Ther Adv Med Oncol       Date:  2012-05       Impact factor: 8.168

7.  Using the 21-gene assay from core needle biopsies to choose neoadjuvant therapy for breast cancer: A multicenter trial.

Authors:  Harry D Bear; Wen Wan; André Robidoux; Peter Rubin; Steven Limentani; Richard L White; James Granfortuna; Judith O Hopkins; Dwight Oldham; Angel Rodriguez; Amy P Sing
Journal:  J Surg Oncol       Date:  2017-04-13       Impact factor: 3.454

8.  Neoadjuvant endocrine treatment for breast cancer: from bedside to bench and back again?

Authors:  R R Saleh; N Bouganim; J Hilton; A Arnaout; M Clemons
Journal:  Curr Oncol       Date:  2014-02       Impact factor: 3.677

Review 9.  Genomic profiling in luminal breast cancer.

Authors:  Oleg Gluz; Daniel Hofmann; Rachel Würstlein; Cornelia Liedtke; Ulrike Nitz; Nadia Harbeck
Journal:  Breast Care (Basel)       Date:  2013-12       Impact factor: 2.860

10.  Trends in Neoadjuvant Endocrine Therapy Use and Impact on Rates of Breast Conservation in Hormone Receptor-Positive Breast Cancer: A National Cancer Data Base Study.

Authors:  Akiko Chiba; Tanya L Hoskin; Courtney N Heins; Kelly K Hunt; Elizabeth B Habermann; Judy C Boughey
Journal:  Ann Surg Oncol       Date:  2016-09-23       Impact factor: 5.344

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