Literature DB >> 25900915

Can pathologic complete response (pCR) be used as a surrogate marker of survival after neoadjuvant therapy for breast cancer?

Qian Wang-Lopez1, Nassera Chalabi2, Catherine Abrial2, Nina Radosevic-Robin3, Xavier Durando4, Marie-Ange Mouret-Reynier3, Kheir-Eddine Benmammar5, Sharif Kullab5, Mohun Bahadoor5, Philippe Chollet1, Frédérique Penault-Llorca6, Jean-Marc Nabholtz3.   

Abstract

Breast cancer is heterogeneous in clinical, morphological, immunohistochemical and biological features, as reflected by several different prognostic subgroups. Neoadjuvant approaches are currently used for the "in vivo" efficacy assessment of treatments. Pathological complete response (pCR) has been reported as a reliable predictive factor of survival in that setting. However, pCR remains a subject of controversy in terms of definition and its evaluation methods. In addition, its predictive value for patient outcome in various breast cancer biological subtypes has been under debate. In this review, we will present the existing definitions of pCR, the impact of its evaluation methods on its rate and the assessment of its predictive value for patient outcome in the molecular subtypes of breast cancer (luminal A and B, Triple Negative and HER2-positive).
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer sugroups; Neoadjuvant chemotherapy; Pathologic complete response; Surrogate marker

Mesh:

Substances:

Year:  2015        PMID: 25900915     DOI: 10.1016/j.critrevonc.2015.02.011

Source DB:  PubMed          Journal:  Crit Rev Oncol Hematol        ISSN: 1040-8428            Impact factor:   6.312


  36 in total

1.  Transcriptomic and functional pathway features were associated with survival after pathological complete response to neoadjuvant chemotherapy in breast cancer.

Authors:  Takashi Takeshita; Li Yan; Xuan Peng; Siker Kimbung; Thomas Hatschek; Ingrid A Hedenfalk; Omar M Rashid; Kazuaki Takabe
Journal:  Am J Cancer Res       Date:  2020-08-01       Impact factor: 6.166

2.  Ki67 Changes Identify Worse Outcomes in Residual Breast Cancer Tumors After Neoadjuvant Chemotherapy.

Authors:  Paula Cabrera-Galeana; Wendy Muñoz-Montaño; Fernando Lara-Medina; Alberto Alvarado-Miranda; Victor Pérez-Sánchez; Cynthia Villarreal-Garza; R Marisol Quintero; Fany Porras-Reyes; Enrique Bargallo-Rocha; Ignacio Del Carmen; Alejandro Mohar; Oscar Arrieta
Journal:  Oncologist       Date:  2018-02-28

3.  Improving breast cancer sensitivity to paclitaxel by increasing aneuploidy.

Authors:  Sylvie Rodrigues-Ferreira; Anne Nehlig; Hadia Moindjie; Clarisse Monchecourt; Cynthia Seiler; Elisabetta Marangoni; Sophie Chateau-Joubert; Marie-Eglantine Dujaric; Nicolas Servant; Bernard Asselain; Patricia de Cremoux; Magali Lacroix-Triki; Monica Arnedos; Jean-Yves Pierga; Fabrice André; Clara Nahmias
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-04       Impact factor: 11.205

Review 4.  Biomarkers of residual disease after neoadjuvant therapy for breast cancer.

Authors:  Frederique Penault-Llorca; Nina Radosevic-Robin
Journal:  Nat Rev Clin Oncol       Date:  2016-02-09       Impact factor: 66.675

5.  Pre-treatment circulating reproductive hormones levels predict pathological and survival outcomes in breast cancer submitted to neoadjuvant chemotherapy.

Authors:  Ailin Lan; Yudi Jin; Yu Wang; Yihua Wang; Nan Ding; Yuran Dai; Linshan Jiang; Zhenrong Tang; Yang Peng; Shengchun Liu
Journal:  Int J Clin Oncol       Date:  2022-03-03       Impact factor: 3.402

Review 6.  miRNAs as therapeutic predictors and prognostic biomarkers of neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.

Authors:  Zhuo Zhang; Hanxu Zhang; Jiao Yu; Ling Xu; Xiaocong Pang; Qian Xiang; Qianxin Liu; Yimin Cui
Journal:  Breast Cancer Res Treat       Date:  2022-06-21       Impact factor: 4.624

7.  Testing for heterogeneity in the utility of a surrogate marker.

Authors:  Layla Parast; Tianxi Cai; Lu Tian
Journal:  Biometrics       Date:  2021-12-07       Impact factor: 1.701

Review 8.  When Can We Avoid Postmastectomy Radiation Following Primary Systemic Therapy?

Authors:  Ángel Montero; Raquel Ciérvide; Philip Poortmans
Journal:  Curr Oncol Rep       Date:  2019-10-29       Impact factor: 5.075

9.  Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.

Authors:  Richard Ha; Christine Chin; Jenika Karcich; Michael Z Liu; Peter Chang; Simukayi Mutasa; Eduardo Pascual Van Sant; Ralph T Wynn; Eileen Connolly; Sachin Jambawalikar
Journal:  J Digit Imaging       Date:  2019-10       Impact factor: 4.056

10.  Prognostic Impact of Ki-67 Change in Locally Advanced and Early Breast Cancer after Neoadjuvant Chemotherapy: A Single Institution Experience.

Authors:  Mirco Pistelli; Filippo Merloni; Sonia Crocetti; Laura Scortichini; Laura Tassone; Luca Cantini; Veronica Agostinelli; Lucia Bastianelli; Agnese Savini; Rossana Berardi
Journal:  J Oncol       Date:  2021-05-04       Impact factor: 4.375

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