Literature DB >> 19551499

Predicting benefit from fulvestrant in pretreated metastatic breast cancer patients.

Orit Freedman1, Eitan Amir, George Dranitsaris, Julie Napolskikh, Ritu Kumar, Michael Fralick, Stephen Chia, Teresa Petrella, Susan Dent, Katia Tonkin, Imran Ahmad, Daniel Rayson, Mark Clemons.   

Abstract

Fulvestrant use in pretreated metastatic breast cancer patients is associated with variable response rates. This study aimed to characterize these responses and to develop a prediction model to identify those patients who could potentially derive the most clinical benefit. A nationwide review of patients enrolled in a Canadian compassionate use program from 1999 to 2006 was performed. Prior therapy with tamoxifen, steroidal, and nonsteroidal aromatase inhibitors was mandatory. The dependent variable in the analysis was the proportion of patients requiring chemotherapy at 3 months following the start of fulvestrant. General Linear Mixed modeling was used to identify factors significantly associated with this dependant variable and to subsequently develop the prediction model. Three hundred and five women received at least one dose of fulvestrant; 207 went on to receive chemotherapy (68%). Median duration of fulvestrant treatment was 4.1 months (range 0.8-63.1). Factors predictive of being chemotherapy free at 3 months included older age, no prior adjuvant hormonal therapy, and the absence of lung or brain metastases at the start of therapy. A receiver operating characteristic (ROC) curve analysis had an area under the curve of 0.70 (95% CI 0.60-0.80). This model was able to identify risk information that could be helpful in assessing which patients would most likely benefit from fulvestrant as an intervention with the objective being a delay in chemotherapy.

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Year:  2009        PMID: 19551499     DOI: 10.1007/s10549-009-0452-8

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  3 in total

1.  Generating Evidence from Expanded Access Use of Rare Disease Medicines: Challenges and Recommendations.

Authors:  Tobias B Polak; David G J Cucchi; Joost van Rosmalen; Carin A Uyl-de Groot; Jonathan J Darrow
Journal:  Front Pharmacol       Date:  2022-05-23       Impact factor: 5.988

Review 2.  Computational systems biology in cancer brain metastasis.

Authors:  Huiming Peng; Hua Tan; Weiling Zhao; Guangxu Jin; Sambad Sharma; Fei Xing; Kounosuke Watabe; Xiaobo Zhou
Journal:  Front Biosci (Schol Ed)       Date:  2016-01-01

3.  Metastatic breast cancer patients with lung or liver metastases should be distinguished before being treated with fulvestrant.

Authors:  Min He; Jun-Jie Li; Wen-Jia Zuo; Lei Ji; Yi-Zhou Jiang; Xi-Chun Hu; Zhong-Hua Wang; Zhi-Ming Shao
Journal:  Cancer Med       Date:  2019-08-02       Impact factor: 4.452

  3 in total

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