Literature DB >> 26344466

A molecular risk score integrating BAALC, ERG and WT1 expression levels for risk stratification in acute promyelocytic leukemia.

Anna Hecht1, Daniel Nowak2, Verena Nowak2, Benjamin Hanfstein2, Thomas Büchner3, Karsten Spiekermann4, Christel Weiß5, Wolf-Karsten Hofmann2, Eva Lengfelder2, Florian Nolte2.   

Abstract

To date risk stratification in acute promyelocytic leukemia (APL) is based on highly dynamic leukocyte and platelet counts only. To identify a more robust risk stratification model, a molecular risk score was developed based on expression levels of the genes BAALC, ERG and WT1. Hereby, the main focus was on prediction of relapse. The integrative risk score divided patients into two groups with highly significant differences in outcome. It discriminated a high risk group with a high incidence of relapse successfully from a low risk group with no APL-related events after achievement of first remission. Especially the concurrent presence of molecular risk factors showed to be a negative prognostic factor in APL. The molecular risk score might be a promising approach to guide monitoring of APL patients and therapeutic decisions in the future.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acute promyelocytic leukemia; Molecular risk factors; Prognosis; Relapse; Survival

Year:  2015        PMID: 26344466     DOI: 10.1016/j.leukres.2015.08.010

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


  5 in total

1.  Combining gene mutation with gene expression analysis improves outcome prediction in acute promyelocytic leukemia.

Authors:  Antonio R Lucena-Araujo; Juan L Coelho-Silva; Diego A Pereira-Martins; Douglas R Silveira; Luisa C Koury; Raul A M Melo; Rosane Bittencourt; Katia Pagnano; Ricardo Pasquini; Elenaide C Nunes; Evandro M Fagundes; Ana B Gloria; Fábio Kerbauy; Maria de Lourdes Chauffaille; Israel Bendit; Vanderson Rocha; Armand Keating; Martin S Tallman; Raul C Ribeiro; Richard Dillon; Arnold Ganser; Bob Löwenberg; P J M Valk; Francesco Lo-Coco; Miguel A Sanz; Nancy Berliner; Eduardo M Rego
Journal:  Blood       Date:  2019-07-10       Impact factor: 22.113

2.  Clinical impact of BAALC expression in high-risk acute promyelocytic leukemia.

Authors:  Antonio R Lucena-Araujo; Diego A Pereira-Martins; Luisa C Koury; Pedro L Franca-Neto; Juan L Coelho-Silva; Virginia M de Deus Wagatsuma; Raul A M Melo; Rosane Bittencourt; Katia Pagnano; Ricardo Pasquini; Carlos S Chiattone; Evandro M Fagundes; Maria de Lourdes Chauffaille; Stanley L Schrier; Martin S Tallman; Raul C Ribeiro; David Grimwade; Arnold Ganser; Bob Löwenberg; Francesco Lo-Coco; Miguel A Sanz; Nancy Berliner; Eduardo M Rego
Journal:  Blood Adv       Date:  2017-09-15

3.  High WT1 expression is an early predictor for relapse in patients with acute promyelocytic leukemia in first remission with negative PML-RARa after anthracycline-based chemotherapy: a single-center cohort study.

Authors:  Jae-Ho Yoon; Hee-Je Kim; Dae-Hun Kwak; Sung-Soo Park; Young-Woo Jeon; Sung-Eun Lee; Byung-Sik Cho; Ki-Seong Eom; Yoo-Jin Kim; Seok Lee; Chang-Ki Min; Seok-Goo Cho; Dong-Wook Kim; Jong Wook Lee; Woo-Sung Min
Journal:  J Hematol Oncol       Date:  2017-01-23       Impact factor: 17.388

4.  Modeling dynamics and alternative treatment strategies in acute promyelocytic leukemia.

Authors:  Gerson Hiroshi Yoshinari; Artur César Fassoni; Luis Fernando Mello; Eduardo M Rego
Journal:  PLoS One       Date:  2019-08-15       Impact factor: 3.240

Review 5.  Acute Promyelocytic Leukemia: Update on the Mechanisms of Leukemogenesis, Resistance and on Innovative Treatment Strategies.

Authors:  N I Noguera; G Catalano; C Banella; M Divona; I Faraoni; T Ottone; W Arcese; M T Voso
Journal:  Cancers (Basel)       Date:  2019-10-18       Impact factor: 6.639

  5 in total

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