Literature DB >> 32688056

Early Prediction of Subsequent Molecular Response to Nilotinib in Patients with Chronic Myeloid Leukemia: Comparison of the Quantification of BCR-ABL1 Ratios Using ABL1 or GUSB Control Genes.

Ruth Stuckey1, Luis-Felipe Casado2, Dolors Colomer3, María Teresa Gómez-Casares1, Laura Casas4, Valentín García-Gutierrez5, José Luis Sastre6, Ángel Ramírez-Payer7, Ferrán Vall-Llovera8, María Ángeles Goñi9, Blanca Xicoy10, Ana Cristina Godoy11, Javier Núñez12, Itxaso Mora13, Rolando Vallansot14, José Luis López-Lorenzo15, Luis Palomera16, Venancio Conesa17, María Soledad Noya18, Fermín Sánchez-Guijo19, Ascensión Peña20, Guiomar Bautista21, Juan Luis Steegmann22.   

Abstract

Molecular monitoring of BCR-ABL1 transcripts is a critical prognostic indicator of treatment response in chronic myeloid leukemia (CML). Quantification of BCR-ABL1 transcripts using ABL1 or GUSB as control genes on the early molecular response (MR) to frontline nilotinib was studied using data from 60 patients with chronic-phase CML from the Evaluating Nilotinib Efficacy and Safety in Clinical Trials as First-Line Treatment (ENEST1st) substudy. Effects of BCR-ABL1/ABL1 and BCR-ABL1/GUSB ratios at early time points as independent variables on subsequent MR were determined by logistic regression analyses and predictive cut-off values determined by receiver operating curve analyses. From day 45, concordance was found for both control genes' early transcript kinetics and ability to predict subsequent deep MR at 18 months. From baseline to 3 months, transcripts descended linearly with both control genes. Use of ABL1 allowed for an earlier prediction (2 months) of subsequent MR than with GUSB (3 months), with cut-off values of 1.5% and 0.19%, respectively. The dynamic determination of BCR-ABL1 transcripts using either internal control gene is valid and predictive of subsequent MR. The use of GUSB to predict an earlier and more accurate response than ABL1 is not supported in the results. Accurate early indicators of MR are essential to identify patients likely to have inferior outcomes who may benefit from treatment with an alternative tyrosine kinase inhibitor.
Copyright © 2020 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32688056     DOI: 10.1016/j.jmoldx.2020.06.016

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  3 in total

Review 1.  Discontinuation of Tyrosine Kinase Inhibitors in Patients with Chronic Myeloid Leukemia: a Review of the Biological Factors Associated with Treatment-Free Remission.

Authors:  Ruth Stuckey; Juan Francisco López Rodríguez; María Teresa Gómez-Casares
Journal:  Curr Oncol Rep       Date:  2022-02-10       Impact factor: 5.075

2.  Initial Rate of BCR::ABL1 Decline for Response Prediction in Chronic Myeloid Leukemia

Authors:  Susan Branford
Journal:  Turk J Haematol       Date:  2022-06-14       Impact factor: 2.029

3.  Predictive Factors for Molecular Response in Chronic Myeloid Leukemia: Reduction Ratio and Halving Time of BCR::ABL1 IS Transcript Levels

Authors:  Funda Ceran; Sema Akıncı; Mehmet Ali Uçar; Gülten Korkmaz; Mehmet Gündüz; Büşranur Çavdarlı; Şule Mine Bakanay; Mesude Falay; Simten Dağdaş; İmdat Dilek; Gülsüm Özet
Journal:  Turk J Haematol       Date:  2022-05-27       Impact factor: 2.029

  3 in total

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