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    <title>Cohen, N.</title>
    <link>http://repub.eur.nl/res/aut/40124/</link>
    <description>List of Publications</description>
    <language>en</language>
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      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
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    <item>
      <title>Polymorphisms in the multiple drug resistance protein 1 and in P-glycoprotein 1 are associated with time to event outcomes in patients with advanced multiple myeloma treated with bortezomib and pegylated liposomal doxorubicin (Article)</title>
      <link>http://repub.eur.nl/res/pub/28189/</link>
      <pubDate>2010-11-01T00:00:00Z</pubDate>
      <description>Single nucleotide polymorphisms (SNPs) in the multiple drug resistance protein 1 (MRP1) and P-glycoprotein 1 (MDR1) genes modulate their ability to mediate drug resistance. We therefore sought to retrospectively evaluate their influence on outcomes in relapsed and/or refractory myeloma patients treated with bortezomib or bortezomib with pegylated liposomal doxorubicin (PLD). The MRP1/R723Q polymorphism was found in five subjects among the 279 patient study population, all of whom received PLD∈+∈bortezomib. Its presence was associated with a longer time to progression (TTP; median 330 vs. 129 days; p∈=∈0.0008), progression-free survival (PFS; median 338 vs. 129 days; p∈=∈0.0006), and overall survival (p∈=∈0.0045). MDR1/3435(C∈&gt;∈T), which was in Hardy-Weinberg equilibrium, showed a trend of association with PFS (p∈=∈0.0578), response rate (p∈=∈0.0782) and TTP (p∈=∈0.0923) in PLD∈+∈ bortezomib patients, though no correlation was found in the bortezomib arm. In a recessive genetic model, MDR1/3435 T was significantly associated with a better TTP (p∈=∈0.0405) and PFS (p∈=∈0.0186) in PLD∈+∈bortezomib patients. These findings suggest a potential role for MRP1 and MDR1 SNPs in modulating the long-term outcome of relapsed and/or refractory myeloma patients treated with PLD∈+∈bortezomib. Moreover, they support prospective studies to determine if such data could be used to tailor therapy to the genetic makeup of individual patients. </description>
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