Literature DB >> 15790543

Individualized chemotherapy treatment for breast cancer: is it necessary? Is it feasible?

Lajos Pusztai1, Roman Rouzier, Peter Wagner, W Fraser Symmans.   

Abstract

Individualized selection of chemotherapy regimens based on the molecular characteristics of the cancer would be desirable. However, it is not currently feasible. The development of clinically useful predictors of response to chemotherapy has proven to be difficult. Recently, novel analytical tools particularly transcriptional profiling, have shown promise as potential predictive tests in several small exploratory studies. However, many of the practical challenges of clinical pharmacogenomics are the same that have plagued prognostic and predictive marker research for decades. Perhaps, the most important challenge is to prospectively design and conduct validation trials that demonstrate clinical utility by showing improved patient outcomes with the use of a proposed new test.

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Year:  2004        PMID: 15790543     DOI: 10.1016/j.drup.2004.10.002

Source DB:  PubMed          Journal:  Drug Resist Updat        ISSN: 1368-7646            Impact factor:   18.500


  3 in total

1.  Do pharmacogenomic tests provide value to policy makers?

Authors:  Ya-Chen Tina Shih; Lajos Pusztai
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

2.  Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both complete and incomplete responses.

Authors:  René Natowicz; Roberto Incitti; Euler Guimarães Horta; Benoît Charles; Philippe Guinot; Kai Yan; Charles Coutant; Fabrice Andre; Lajos Pusztai; Roman Rouzier
Journal:  BMC Bioinformatics       Date:  2008-03-15       Impact factor: 3.169

3.  New in vitro system to predict chemotherapeutic efficacy of drug combinations in fresh tumor samples.

Authors:  Frank Christian Kischkel; Julia Eich; Carina I Meyer; Paula Weidemüller; Jens Krapfl; Rauaa Yassin-Kelepir; Laura Job; Marius Fraefel; Ioana Braicu; Annette Kopp-Schneider; Jalid Sehouli; Rudy Leon De Wilde
Journal:  PeerJ       Date:  2017-03-02       Impact factor: 2.984

  3 in total

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