Literature DB >> 20587409

Optimizing chemotherapy regimens for patients with early-stage breast cancer.

Efrat Dotan1, Lori J Goldstein.   

Abstract

While moving toward a personalized treatment approach for early breast cancer, it is clear that treatment must be tailored specifically to the tumor's and patient's characteristics. Understanding the tumor's molecular signature and using validated prognostic and predictive tools can assist the oncologist in providing the optimal therapy. Through a shared decision process, a treatment plan must be formulated based on the tumor's biologic phenotype, taking into consideration the patient's comorbidities and preferences. This review summarizes the available tools that can assist in this process and provides an overview of the chemotherapy regimens approved for the adjuvant treatment of patients with early-stage breast cancer.

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Year:  2010        PMID: 20587409     DOI: 10.3816/CBC.2010.s.002

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  3 in total

1.  Development and characterization of a colon PDX model that reproduces drug responsiveness and the mutation profiles of its original tumor.

Authors:  Hyang Sook Seol; Hyo Jeong Kang; Hyojeong Kang; Seul-I Lee; Na Eun Kim; Tae Im Kim; Sung Min Chun; Tae Won Kim; Chang Sik Yu; Young-Ah Suh; Shree Ram Singh; Suhwan Chang; Se Jin Jang
Journal:  Cancer Lett       Date:  2013-12-11       Impact factor: 8.679

2.  HAGE (DDX43) is a biomarker for poor prognosis and a predictor of chemotherapy response in breast cancer.

Authors:  T M A Abdel-Fatah; S E B McArdle; C Johnson; P M Moseley; G R Ball; A G Pockley; I O Ellis; R C Rees; S Y T Chan
Journal:  Br J Cancer       Date:  2014-04-22       Impact factor: 7.640

3.  Personalized chemotherapy selection for breast cancer using gene expression profiles.

Authors:  Kaixian Yu; Qing-Xiang Amy Sang; Pei-Yau Lung; Winston Tan; Ty Lively; Cedric Sheffield; Mayassa J Bou-Dargham; Jun S Liu; Jinfeng Zhang
Journal:  Sci Rep       Date:  2017-03-03       Impact factor: 4.379

  3 in total

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