Literature DB >> 24074777

Selecting the neoadjuvant treatment by molecular subtype: how to maximize the benefit?

Gunter von Minckwitz1, Caterina Fontanella.   

Abstract

The relationship between achievement of a pathologic complete response (pCR) and favorable long-term outcome varies among breast cancer subtypes. We aimed to highlight which neoadjuvant treatment strategy could be most successful in each breast cancer subtype. A recent FDA meta-analysis on randomized neoadjuvant breast cancer trials suggests that the survival differences of patients with or without a pCR were less pronounced in luminal A-like tumors, despite the overall favorable prognosis of these patients. Moreover, even though the strong prognostic effect of pCR in HER2 positive and TNBC, the NOAH study was the only trial which showed a trend in surrogacy of pCR for long-term outcome in HER2-positive subtype. Results from GeparTrio study suggest that patients with hormone-positive tumors might need a response-guided approach, with either an intensification of treatment in case of an early response or a change to other chemotherapy in case of no early response. Furthermore, data from German neoadjuvant trials confirm that an increasing number of chemotherapy cycles is associated with a higher pCR rate, especially in patients with HER2-positive/hormone-positive tumors. In line with these suggestions, Tryphaena study showed a pCR rate that exceeding the 60% threshold, the highest pCR results presented in a large multicenter study. In TNBC, the highest pCR rate in the German neoadjuvant studies was obtained with the simultaneous application of docetaxel, doxorubicin and cyclophosphamide for 6 cycles. However, as shown in GaparQuinto and NSABP 40 trials, treatment effect in TNBC might be further maximized by adding bevacizumab, and two randomized neoadjuvant trials are expected this year to report data on the efficacy of carboplatin.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Neoadjuvant treatment; Pathologic complete response; Tumor subtype

Mesh:

Substances:

Year:  2013        PMID: 24074777     DOI: 10.1016/j.breast.2013.07.028

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  12 in total

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Authors:  Rachna Raman; Sarah L Mott; Mary C Schroeder; Sneha Phadke; Jad El Masri; Alexandra Thomas
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Journal:  J Clin Endocrinol Metab       Date:  2016-01-11       Impact factor: 5.958

3.  Dynamic Diffuse Optical Tomography for Monitoring Neoadjuvant Chemotherapy in Patients with Breast Cancer.

Authors:  Jacqueline E Gunther; Emerson A Lim; Hyun K Kim; Molly Flexman; Mirella Altoé; Jessica A Campbell; Hanina Hibshoosh; Katherine D Crew; Kevin Kalinsky; Dawn L Hershman; Andreas H Hielscher
Journal:  Radiology       Date:  2018-02-12       Impact factor: 11.105

4.  Pathological non-response to chemotherapy in a neoadjuvant setting of breast cancer: an inter-institutional study.

Authors:  D Balmativola; C Marchiò; M Maule; L Chiusa; L Annaratone; F Maletta; F Montemurro; J Kulka; P Figueiredo; Z Varga; I Liepniece-Karele; G Cserni; E Arkoumani; I Amendoeira; G Callagy; A Reiner-Concin; A Cordoba; S Bianchi; T Decker; D Gläser; C Focke; P van Diest; D Grabau; E Lips; J Wesseling; R Arisio; E Medico; C Wells; A Sapino
Journal:  Breast Cancer Res Treat       Date:  2014-11-14       Impact factor: 4.872

5.  Surgery time interval and molecular subtype may influence Ki67 change after core needle biopsy in breast cancer patients.

Authors:  Xiaosong Chen; Siji Zhu; Xiaochun Fei; David H Garfield; Jiayi Wu; Ou Huang; Yafen Li; Li Zhu; Jianrong He; Weiguo Chen; Xiaolong Jin; Kunwei Shen
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Review 6.  Exploring circulating micro-RNA in the neoadjuvant treatment of breast cancer.

Authors:  Máire-Caitlín Casey; Karl J Sweeney; James Andrew Lawrence Brown; Michael J Kerin
Journal:  Int J Cancer       Date:  2016-01-30       Impact factor: 7.396

7.  Impact of Molecular Subtype Conversion of Breast Cancers after Neoadjuvant Chemotherapy on Clinical Outcome.

Authors:  Siew Kuan Lim; Moo Hyun Lee; In Hae Park; Ji Young You; Byung-Ho Nam; Byeong Nam Kim; Jungsil Ro; Keun Seok Lee; So-Youn Jung; Young Mee Kwon; Eun Sook Lee
Journal:  Cancer Res Treat       Date:  2015-04-07       Impact factor: 4.679

8.  Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013.

Authors:  A Goldhirsch; E P Winer; A S Coates; R D Gelber; M Piccart-Gebhart; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2013-08-04       Impact factor: 32.976

9.  Exploratory Cost-Effectiveness Analysis of Response-Guided Neoadjuvant Chemotherapy for Hormone Positive Breast Cancer Patients.

Authors:  Anna Miquel-Cases; Valesca P Retèl; Bianca Lederer; Gunter von Minckwitz; Lotte M G Steuten; Wim H van Harten
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

Review 10.  Ki-67 labeling index is a predictive marker for a pathological complete response to neoadjuvant chemotherapy in breast cancer: A meta-analysis.

Authors:  Miaomiao Tao; Shu Chen; Xianquan Zhang; Qi Zhou
Journal:  Medicine (Baltimore)       Date:  2017-12       Impact factor: 1.817

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