Literature DB >> 19752335

Real-time quantitative polymerase chain reaction detection of minimal residual disease by standardized WT1 assay to enhance risk stratification in acute myeloid leukemia: a European LeukemiaNet study.

Daniela Cilloni1, Aline Renneville, Fabienne Hermitte, Robert K Hills, Sarah Daly, Jelena V Jovanovic, Enrico Gottardi, Milena Fava, Susanne Schnittger, Tamara Weiss, Barbara Izzo, Josep Nomdedeu, Adrian van der Heijden, Bert A van der Reijden, Joop H Jansen, Vincent H J van der Velden, Hans Ommen, Claude Preudhomme, Giuseppe Saglio, David Grimwade.   

Abstract

PURPOSE: Risk stratification in acute myeloid leukemia (AML) is currently based on pretreatment characteristics. It remains to be established whether relapse risk can be better predicted through assessment of minimal residual disease (MRD). One proposed marker is the Wilms tumor gene WT1, which is overexpressed in most patients with AML, thus providing a putative target for immunotherapy, although in the absence of a standardized assay, its utility for MRD monitoring remains controversial. PATIENTS AND METHODS: Nine published and in-house real-time quantitative polymerase chain reaction WT1 assays were systematically evaluated within the European LeukemiaNet; the best-performing assay was applied to diagnostic AML samples (n = 620), follow-up samples from 129 patients treated with intensive combination chemotherapy, and 204 normal peripheral blood (PB) and bone marrow (BM) controls.
RESULTS: Considering relative levels of expression detected in normal PB and BM, WT1 was sufficiently overexpressed to discriminate > or = 2-log reduction in transcripts in 46% and 13% of AML patients, according to the respective follow-up sample source. In this informative group, greater WT1 transcript reduction after induction predicted reduced relapse risk (hazard ratio, 0.54 per log reduction; 95% CI, 0.36 to 0.83; P = .004) that remained significant when adjusted for age, WBC count, and cytogenetics. Failure to reduce WT1 transcripts below the threshold limits defined in normal controls by the end of consolidation also predicted increased relapse risk (P = .004).
CONCLUSION: Application of a standardized WT1 assay provides independent prognostic information in AML, lending support to incorporation of early assessment of MRD to develop more robust risk scores, to enhance risk stratification, and to identify patients who may benefit from allogeneic transplantation.

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Year:  2009        PMID: 19752335     DOI: 10.1200/JCO.2009.22.4865

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  130 in total

1.  Shortcomings in the clinical evaluation of new drugs: acute myeloid leukemia as paradigm.

Authors:  Roland B Walter; Frederick R Appelbaum; Martin S Tallman; Noel S Weiss; Richard A Larson; Elihu H Estey
Journal:  Blood       Date:  2010-06-10       Impact factor: 22.113

Review 2.  Active specific immunotherapy targeting the Wilms' tumor protein 1 (WT1) for patients with hematological malignancies and solid tumors: lessons from early clinical trials.

Authors:  Ann Van Driessche; Zwi N Berneman; Viggo F I Van Tendeloo
Journal:  Oncologist       Date:  2012-01-30

3.  Longitudinal qPCR monitoring of nucleophosmin 1 mutations after allogeneic hematopoietic stem cell transplantation to predict AML relapse.

Authors:  E Xue; C Tresoldi; E Sala; A Crippa; B Mazzi; R Greco; C Messina; M G Carrabba; M T Lupo Stanghellini; S Marktel; C Corti; J Peccatori; M Bernardi; F Ciceri; L Vago
Journal:  Bone Marrow Transplant       Date:  2015-12-07       Impact factor: 5.483

4.  Minimal residual disease detection in pediatric acute myeloid leukemia: does flow cytometry score a point over molecular biology?

Authors:  Adriano Venditti; Maria Ilaria Del Principe; Luca Maurillo; Francesco Buccisano; Sergio Amadori
Journal:  Transl Pediatr       Date:  2013-01

5.  Quantitative chimerism in CD3-negative mononuclear cells predicts prognosis in acute myeloid leukemia patients after hematopoietic stem cell transplantation.

Authors:  Anne Bouvier; Jérémie Riou; Sylvain Thépot; Aurélien Sutra Del Galy; Sylvie François; Aline Schmidt; Corentin Orvain; Marie-Hélène Estienne; Alban Villate; Damien Luque Paz; Laurane Cottin; Bénédicte Ribourtout; Annaëlle Beucher; Yves Delneste; Norbert Ifrah; Valérie Ugo; Mathilde Hunault-Berger; Odile Blanchet
Journal:  Leukemia       Date:  2019-11-25       Impact factor: 11.528

6.  WT1 synonymous single nucleotide polymorphism rs16754 correlates with higher mRNA expression and predicts significantly improved outcome in favorable-risk pediatric acute myeloid leukemia: a report from the children's oncology group.

Authors:  Phoenix A Ho; Julia Kuhn; Robert B Gerbing; Jessica A Pollard; Rong Zeng; Kristen L Miller; Nyla A Heerema; Susana C Raimondi; Betsy A Hirsch; Janet L Franklin; Beverly Lange; Alan S Gamis; Todd A Alonzo; Soheil Meshinchi
Journal:  J Clin Oncol       Date:  2010-12-28       Impact factor: 44.544

Review 7.  Bone marrow evaluation for diagnosis and monitoring of acute myeloid leukemia.

Authors:  Mary-Elizabeth Percival; Catherine Lai; Elihu Estey; Christopher S Hourigan
Journal:  Blood Rev       Date:  2017-02-02       Impact factor: 8.250

8.  The European LeukemiaNet: achievements and perspectives.

Authors:  Rüdiger Hehlmann; David Grimwade; Bengt Simonsson; Jane Apperley; Michele Baccarani; Tiziano Barbui; Giovanni Barosi; Renato Bassan; Marie C Béné; Ute Berger; Thomas Büchner; Alan Burnett; Nicolas C P Cross; Theo J M de Witte; Hartmut Döhner; Hervé Dombret; Hermann Einsele; Georg Engelich; Robin Foà; Christa Fonatsch; Nicola Gökbuget; Elaine Gluckman; Alois Gratwohl; Francois Guilhot; Claudia Haferlach; Thorsten Haferlach; Michael Hallek; Jörg Hasford; Andreas Hochhaus; Dieter Hoelzer; Jean-Jaques Kiladjian; Boris Labar; Per Ljungman; Ulrich Mansmann; Dietger Niederwieser; Gert Ossenkoppele; José M Ribera; Harald Rieder; Hubert Serve; Petra Schrotz-King; Miguel A Sanz; Susanne Saussele
Journal:  Haematologica       Date:  2010-11-03       Impact factor: 9.941

9.  Optimization of T-cell Reactivity by Exploiting TCR Chain Centricity for the Purpose of Safe and Effective Antitumor TCR Gene Therapy.

Authors:  Toshiki Ochi; Munehide Nakatsugawa; Kenji Chamoto; Shinya Tanaka; Yuki Yamashita; Tingxi Guo; Hiroshi Fujiwara; Masaki Yasukawa; Marcus O Butler; Naoto Hirano
Journal:  Cancer Immunol Res       Date:  2015-05-05       Impact factor: 11.151

10.  Universal monitoring of minimal residual disease in acute myeloid leukemia.

Authors:  Elaine Coustan-Smith; Guangchun Song; Sheila Shurtleff; Allen Eng-Juh Yeoh; Wee Joo Chng; Siew Peng Chen; Jeffrey E Rubnitz; Ching-Hon Pui; James R Downing; Dario Campana
Journal:  JCI Insight       Date:  2018-05-03
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