2018
DOI: 10.1016/j.clml.2018.02.004
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Effect of ABCG2 , OCT1 , and ABCB1 ( MDR1 ) Gene Expression on Treatment-Free Remission in a EURO-SKI Subtrial

Abstract: In this study, we investigated the effect of pharmacogenetics in the context of a CML treatment discontinuation trial. The transcript levels of the efflux transporter ABCG2 predicted TFR after TKI discontinuation.

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Cited by 19 publications
(14 citation statements)
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“…Recently, Rinaldetti et al. analyzed the data of the Euro-SKY trial, in order to evaluate the expression of ABCG2, OCT1, and ABCB1, and their influence on TFR ( 25 ). Interestingly, after TKI discontinuation, ABCB1 expression was significantly downregulated in 40 patients, at the day of relapse.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, Rinaldetti et al. analyzed the data of the Euro-SKY trial, in order to evaluate the expression of ABCG2, OCT1, and ABCB1, and their influence on TFR ( 25 ). Interestingly, after TKI discontinuation, ABCB1 expression was significantly downregulated in 40 patients, at the day of relapse.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, CML patients in deep molecular response showed a different expression in influx and efflux transporters after long-term imatinib treatment, compared with healthy controls. ABCB1 responded more sensitively to TKI exposure, because discontinuation of imatinib resulted in a significant downregulation or normalization of its transcription levels ( 25 ).…”
Section: Discussionmentioning
confidence: 99%
“…The impact of polymorphisms of ABCG2, OCT1 and ABCB1 were also studied: no differences were observed in the expression of OCT1 and ABCB1 in relapsed and non-relapsed patients. Indeed, a weak difference was found in the expression of ABCG2 (1.1 vs 0.8%): patients with a higher value of ABCG2 normalized per GUS had a two-fold greater risk of relapse [33]. Finally, the UK group reported an increased risk of relapse for patients carrying an e13a2 type of transcript after discontinuation that needs to be confirmed in a large series of patients [34].…”
Section: Prognostic Factors Associated To Tfrmentioning
confidence: 93%
“…In fact, to date, there is some evidence that we cannot accurately and reproducibly monitor those patients who are able to stay out of treatment indefinitely. This is probably due to several factors, such as the limit of detection of our molecular monitoring technology, or the inherent differences in the biology of leukemia (42), and/or immune response (43) in different patients, or a combination of several still undefined factors.…”
Section: Real-time Quantitative Pcr: Its Fundamental Role In Managemementioning
confidence: 99%