Literature DB >> 18258990

Research issues affecting preoperative systemic therapy for operable breast cancer.

Antonio C Wolff1, Donald Berry, Lisa A Carey, Marco Colleoni, Mitchell Dowsett, Matthew Ellis, Judy E Garber, David Mankoff, Soonmyung Paik, Lajos Pusztai, Mary Lou Smith, JoAnne Zujewski.   

Abstract

Preoperative systemic therapy (PST) in operable breast cancer allows a small increase in breast conservation rates and has significant potential as a research platform. PST offers the ability to discern treatment effect in vivo, and may allow smaller trials targeting specific breast cancer subtypes and making more efficient use of resources. Early observations of a specific outcome of interest in individual patient subgroups may improve the design of larger definitive randomized adjuvant trials using survival as a main outcome. PST offers the potential for therapeutic adjustments midcourse, which assumes the existence of validated intermediate end points and effective alternative therapies. This article reviews critical research issues affecting the design of PST trials, including the appropriate selection of trial end points and markers for long-term outcome, baseline marker expression as a predictor of response, and statistical considerations using novel trial designs. Key issues regarding optimal tumor subtype selection for individual trials, novel approaches using nontherapeutic window trial designs, and ethical and advocacy considerations are also discussed. PST requires an experienced and cohesive multidisciplinary team for it to fulfill its potential in both research and clinical care.

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Year:  2008        PMID: 18258990     DOI: 10.1200/JCO.2007.15.2983

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


  25 in total

1.  Early monitoring of response to neoadjuvant chemotherapy in breast cancer with 18F-FDG PET/CT: defining a clinical aim.

Authors:  David Groheux; Sylvie Giacchetti; Marc Espié; Domenico Rubello; Jean-luc Moretti; Elif Hindié
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-03       Impact factor: 9.236

2.  Diffuse optical spectroscopic imaging correlates with final pathological response in breast cancer neoadjuvant chemotherapy.

Authors:  Albert E Cerussi; Vaya W Tanamai; David Hsiang; John Butler; Rita S Mehta; Bruce J Tromberg
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-11-28       Impact factor: 4.226

3.  17p12 deletion in breast cancer predicts resistance to neoadjuvant chemotherapy.

Authors:  Wonshik Han; Jung Hoon Woo; Yoon Kyung Jeon; Song-Ju Yang; Jihyoung Cho; Eunyoung Ko; Tae-You Kim; Seock-Ah Im; DO-Youn Oh; In-Ae Park; Ki-Tae Hwang; Hyeong-Gon Moon; Kap-Seok Yang; Dong-Young Noh
Journal:  Exp Ther Med       Date:  2011-06-29       Impact factor: 2.447

4.  Frequent optical imaging during breast cancer neoadjuvant chemotherapy reveals dynamic tumor physiology in an individual patient.

Authors:  Albert E Cerussi; Vaya W Tanamai; Rita S Mehta; David Hsiang; John Butler; Bruce J Tromberg
Journal:  Acad Radiol       Date:  2010-06-12       Impact factor: 3.173

5.  Multiparametric magnetic resonance imaging, spectroscopy and multinuclear (²³Na) imaging monitoring of preoperative chemotherapy for locally advanced breast cancer.

Authors:  Michael A Jacobs; Vered Stearns; Antonio C Wolff; Katarzyna Macura; Pedram Argani; Nagi Khouri; Theodore Tsangaris; Peter B Barker; Nancy E Davidson; Zaver M Bhujwalla; David A Bluemke; Ronald Ouwerkerk
Journal:  Acad Radiol       Date:  2010-09-21       Impact factor: 3.173

6.  Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: preliminary results.

Authors:  Richard G Abramson; Xia Li; Tamarya Lea Hoyt; Pei-Fang Su; Lori R Arlinghaus; Kevin J Wilson; Vandana G Abramson; A Bapsi Chakravarthy; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2013-08-15       Impact factor: 2.546

7.  Optical imaging of breast cancer oxyhemoglobin flare correlates with neoadjuvant chemotherapy response one day after starting treatment.

Authors:  Darren Roblyer; Shigeto Ueda; Albert Cerussi; Wendy Tanamai; Amanda Durkin; Rita Mehta; David Hsiang; John A Butler; Christine McLaren; Wen-Pin Chen; Bruce Tromberg
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-18       Impact factor: 11.205

8.  Gene expression pathway analysis to predict response to neoadjuvant docetaxel and capecitabine for breast cancer.

Authors:  Larissa A Korde; Lara Lusa; Lisa McShane; Peter F Lebowitz; LuAnne Lukes; Kevin Camphausen; Joel S Parker; Sandra M Swain; Kent Hunter; Jo Anne Zujewski
Journal:  Breast Cancer Res Treat       Date:  2010-02       Impact factor: 4.872

9.  Current and emerging quantitative magnetic resonance imaging methods for assessing and predicting the response of breast cancer to neoadjuvant therapy.

Authors:  Richard G Abramson; Lori R Arlinghaus; Jared A Weis; Xia Li; Adrienne N Dula; Eduard Y Chekmenev; Seth A Smith; Michael I Miga; Vandana G Abramson; Thomas E Yankeelov
Journal:  Breast Cancer (Dove Med Press)       Date:  2012-10

10.  Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction-Diffusion Model.

Authors:  Jared A Weis; Michael I Miga; Lori R Arlinghaus; Xia Li; Vandana Abramson; A Bapsi Chakravarthy; Praveen Pendyala; Thomas E Yankeelov
Journal:  Cancer Res       Date:  2015-09-02       Impact factor: 12.701

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