2019
DOI: 10.1002/bmc.4742
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A review of bioanalytical methods for chronic lymphocytic leukemia drugs and metabolites in biological matrices

Abstract: Quantitation of drugs used for the treatment of chronic lymphocytic leukemia in various biological matrices during both pre‐clinical and clinical developments is very important, often in routine therapeutic drug monitoring. The first developed methods for quantitation were traditionally done on LC in combination with either UV or fluorescence detection. However, the emergence of LC with mass spectrometry in tandem in early 1990s has revolutionized the quantitation as it has provided better sensitivity and sele… Show more

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Cited by 4 publications
(2 citation statements)
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“…In 2020, a comprehensive review regarding analytical methods for determination of lymphocytic anti-leukaemia drugs, including sorafenib and nilotinib has been published by Suresh et al [19]. Bioanalysis of these compounds is gaining more and more interest.…”
Section: Introductionmentioning
confidence: 99%
“…In 2020, a comprehensive review regarding analytical methods for determination of lymphocytic anti-leukaemia drugs, including sorafenib and nilotinib has been published by Suresh et al [19]. Bioanalysis of these compounds is gaining more and more interest.…”
Section: Introductionmentioning
confidence: 99%
“…Some old or recent reviews dealing with the literature reporting contributions to the derivatization for HPLC with specified detections (Higashi & Ogawa, 2016;Santa, 2011Santa, , 2013 may complete the present review. Reviews dedicated to the bioanalytical methods including derivatization for certain compounds are also available in the recent literature (Batra & Bhushan, 2018a, 2018bHancu, Lupu, Milan, Budau, & Barabas-Hajdu, 2020;Jia & Bartlett, 2020;Knikman, Rosing, Guchelaar, Cats, & Beijnen, 2020;Suresh, Trivedi, Srinivas, & Mullangi, 2020). Apecial attention was given to the bioanalysis of anticancer drugs, to which a very recent review has been dedicated that includes HPLC methods based on chemical derivatization (Sabourian et al, 2020).…”
mentioning
confidence: 99%