Literature DB >> 15858436

Development of pharmacogenomic markers to select preoperative chemotherapy for breast cancer.

Lajos Pusztai1, Fraser W Symmans, Gabriel N Hortobagyi.   

Abstract

Individualized selection of the most effective adjuvant (or neoadjuvant) chemotherapy for breast cancer based on the molecular characteristics of the tumor could improve the risk:benefit ratio of current therapies. It could also streamline the development of new regimens for those who are unlikely to benefit from existing drugs. It is expected that combinations of markers will be more informative to predict response than any single gene and may yield regimen-specific predictors. Novel molecular analytical tools, particularly transcriptional profiling, provide a method to test this hypothesis. Several small exploratory studies have shown encouraging results. This article reviews recent progress in this field including experience from the breast cancer pharmacogenomic marker discovery program at the Nellie B. Connally Breast Center of the University of Texas M. D. Anderson Cancer Center. This manuscript is based on a presentation that was given during the Presidential Symposium of the annual meeting of the Japanese Breast Cancer Society in 2004.

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Year:  2005        PMID: 15858436     DOI: 10.1007/bf02966817

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  5 in total

1.  The association of the expression of miR-122-5p and its target ADAM10 with human breast cancer.

Authors:  Sercan Ergün; Mustafa Ulasli; Yusuf Ziya Igci; Mehri Igci; Sevil Kırkbes; Ersin Borazan; Ahmet Balik; Önder Yumrutaş; Celalettin Camci; Ecir Ali Cakmak; Ahmet Arslan; Serdar Oztuzcu
Journal:  Mol Biol Rep       Date:  2014-10-16       Impact factor: 2.316

2.  Glutathione S-transferase M1 and T1 polymorphism and response to neoadjuvant chemotherapy (CAF) in breast cancer patients.

Authors:  Anjali Mishra; Richa Chandra; Prateek Kumar Mehrotra; Prachi Bajpai; Deepa Agrawal
Journal:  Surg Today       Date:  2011-03-23       Impact factor: 2.549

3.  Microtubule-associated protein tau: a marker of paclitaxel sensitivity in breast cancer.

Authors:  Roman Rouzier; Radhika Rajan; Peter Wagner; Kenneth R Hess; David L Gold; James Stec; Mark Ayers; Jeffrey S Ross; Peter Zhang; Thomas A Buchholz; Henry Kuerer; Marjorie Green; Banu Arun; Gabriel N Hortobagyi; W Fraser Symmans; Lajos Pusztai
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-24       Impact factor: 11.205

4.  Genomic grade index is associated with response to chemotherapy in patients with breast cancer.

Authors:  Cornelia Liedtke; Christos Hatzis; William Fraser Symmans; Christine Desmedt; Benjamin Haibe-Kains; Vicente Valero; Henry Kuerer; Gabriel N Hortobagyi; Martine Piccart-Gebhart; Christos Sotiriou; Lajos Pusztai
Journal:  J Clin Oncol       Date:  2009-04-13       Impact factor: 44.544

5.  A Bayesian approach for inducing sparsity in generalized linear models with multi-category response.

Authors:  Behrouz Madahian; Sujoy Roy; Dale Bowman; Lih Y Deng; Ramin Homayouni
Journal:  BMC Bioinformatics       Date:  2015-09-25       Impact factor: 3.169

  5 in total

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