Literature DB >> 26063883

Neoadjuvant Treatment Approach: The Rosetta Stone for Breast Cancer?

Daniele Generali1, Mara Ardine2, Carla Strina2, Manuela Milani2, Maria Rosa Cappelletti2, Laura Zanotti2, Michela Forti2, Francesca Bedussi2, Mario Martinotti2, Vito Amoroso2, Sandra Sigala2, Edda Simoncini2, Alfredo Berruti2, Alberto Bottini2.   

Abstract

Breast cancer represents a heterogeneous group of diseases with varied biological features, behavior, and response to therapy; thus, management of breast cancer relies on the availability of robust predictive and prognostic factors to support therapy decision-making. Traditionally, neoadjuvant treatment for breast cancer was preserved for locally advanced, converting an inoperable to a surgical resectable cancer. Neoadjuvant trials, additionally, offer: 1) the opportunity to evaluate new treatment options in a faster way and with fewer patients than large adjuvant trials; 2) to identify and validate the prognostic and predictive value of a marker with its association with clinical outcome in relation to the administered treatment. In this setting, thanks to new, affordable technologies which help to detail the molecular profiles of tumors, new trial designs based on new target therapies, like window-of-opportunity, are also suggested, as they represent the chance to identify tumor sensitivity or to overcome tumor resistance to the treatment used, based on its interaction with tumor biology in early tumor stages. However, clinicians and researchers should pay particular attention: In this setting, the safety of patients is paramount, given the exposure of potentially curable patients to investigational agents with limited safety experience, the definition of the study population and the study design, such as adaptive strategies, should limit patient exposure to ineffective agents, and intensify safety monitoring in the course of the treatment. Here, issues related to outcome determination in breast cancer, including some critical points of view, are presented.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2015        PMID: 26063883     DOI: 10.1093/jncimonographs/lgv019

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  5 in total

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Authors:  Xi Jin; Yi-Zhou Jiang; Sheng Chen; Ke-Da Yu; Ding Ma; Wei Sun; Zhi-Min Shao; Gen-Hong Di
Journal:  BMC Cancer       Date:  2016-08-05       Impact factor: 4.430

2.  A Nomogram for Predicting the Pathological Response of Axillary Lymph Node Metastasis in Breast Cancer Patients.

Authors:  Xi Jin; Yi-Zhou Jiang; Sheng Chen; Zhi-Ming Shao; Gen-Hong Di
Journal:  Sci Rep       Date:  2016-08-31       Impact factor: 4.379

3.  A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study.

Authors:  Huimin Zhang; Peiling Xie; Zhuoying Li; Rong Huang; Weiliang Feng; Yanan Kong; Feng Xu; Lin Zhao; Qingkun Song; Jing Li; Baoning Zhang; Jinhu Fan; Youlin Qiao; Xiaoming Xie; Shan Zheng; Jianjun He; Ke Wang
Journal:  Diagn Pathol       Date:  2019-05-04       Impact factor: 2.644

4.  Can We Reliably Identify the Pathological Outcomes of Neoadjuvant Chemotherapy in Patients with Breast Cancer? Development and Validation of a Logistic Regression Nomogram Based on Preoperative Factors.

Authors:  Jian Zhang; Linhai Xiao; Shengyu Pu; Yang Liu; Jianjun He; Ke Wang
Journal:  Ann Surg Oncol       Date:  2020-10-23       Impact factor: 5.344

5.  Predicting level 2 axillary lymph node metastasis in a Chinese breast cancer population post-neoadjuvant chemotherapy: development and assessment of a new predictive nomogram.

Authors:  Caigang Liu; Yanlin Jiang; Xin Gu; Zhen Xu; Liping Ai; Hao Zhang; Guanglei Chen; Lisha Sun; Yue Li; Hong Xu; Huizi Gu; Ying Yu; Yangyang Xu; Qiyong Guo
Journal:  Oncotarget       Date:  2017-03-15
  5 in total

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