Literature DB >> 26467814

Quantification of EVI1 transcript levels in acute myeloid leukemia by RT-qPCR analysis: A study by the ALFA Group.

Thomas Smol1, Olivier Nibourel2, Alice Marceau-Renaut2, Karine Celli-Lebras3, Céline Berthon4, Bruno Quesnel4, Nicolas Boissel5, Christine Terré6, Xavier Thomas7, Sylvie Castaigne8, Hervé Dombret5, Claude Preudhomme2, Aline Renneville9.   

Abstract

EVI1 overexpression confers poor prognosis in acute myeloid leukemia (AML). Quantification of EVI1 expression has been mainly assessed by real-time quantitative PCR (RT-qPCR) based on relative quantification of EVI1-1D splice variant. In this study, we developed a RT-qPCR assay to perform quantification of EVI1 expression covering the different splice variants. A sequence localized in EVI1 exons 14 and 15 was cloned into plasmids that were used to establish RT-qPCR standard curves. Threshold values to define EVI1 overexpression were determined using 17 bone marrow (BM) and 31 peripheral blood (PB) control samples and were set at 1% in BM and 0.5% in PB. Samples from 64 AML patients overexpressing EVI1 included in the ALFA-0701 or -0702 trials were collected at diagnosis and during follow-up (n=152). Median EVI1 expression at AML diagnosis was 23.3% in BM and 3.6% in PB. EVI1 expression levels significantly decreased between diagnostic and post-induction samples, with an average variation from 21.6% to 3.56% in BM and from 4.0% to 0.22% in PB, but did not exceed 1 log10 reduction. Our study demonstrates that the magnitude of reduction in EVI1 expression levels between AML diagnosis and follow-up is not sufficient to allow sensitive detection of minimal residual disease.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acute myeloid leukemia; EVI1 overexpression; MLL; RT-qPCR

Mesh:

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Year:  2015        PMID: 26467814     DOI: 10.1016/j.leukres.2015.09.021

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  2 in total

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Authors:  Saeid Shahrabi; Abbas Khosravi; Mohammad Shahjahani; Fakher Rahim; Najmaldin Saki
Journal:  Oncol Rev       Date:  2016-12-14

Review 2.  How close are we to incorporating measurable residual disease into clinical practice for acute myeloid leukemia?

Authors:  Nicholas J Short; Farhad Ravandi
Journal:  Haematologica       Date:  2019-07-04       Impact factor: 9.941

  2 in total

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