Literature DB >> 23891447

Integrating post induction WT1 quantification and flow-cytometry results improves minimal residual disease stratification in acute myeloid leukemia.

Carlo Marani1, Marino Clavio, Raffaella Grasso, Nicoletta Colombo, Fabio Guolo, Annalisa Kunkl, Filippo Ballerini, Livia Giannoni, Chiara Ghiggi, Giuseppina Fugazza, Jean-Louis Ravetti, Marco Gobbi, Maurizio Miglino.   

Abstract

Fifty uniformly treated adult AML patients were analyzed with respect to pre-treatment and post-induction risk factors. Forty-two patients achieving complete hematological remission were assessed for minimal residual disease (MRD) by WT1 gene expression; 34 by flow-cytometry (flow-MRD). Patients who were flow-MRD negative had a better 3-year disease-free (DFS; 79.5% vs. 27.3%; p=.032) compared with patients who were still positive after induction. Interestingly, DFS of flow-MRD positive patients was not related to the amount of flow-detected clone population (≥ or <1%, p=.41) but to WT1 reduction (ΔWT1, 3-year DFS; 46.2% vs. 0% if ΔWT1 was ≥ or < of 1.5 log, p=.001). In AML, combining MRD results provided by WT1 quantification and flow-cytometry improves the reliability of MRD-based prognostic stratification. Similar analyses by further larger studies should be advocated.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acute myeloid leukemia; Early response assessment; Flow-cytometry; Minimal residual disease; Prognosis; Wilms’ tumor gene

Mesh:

Substances:

Year:  2013        PMID: 23891447     DOI: 10.1016/j.leukres.2013.07.005

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


  10 in total

1.  Combining flow cytometry and WT1 assessment improves the prognostic value of pre-transplant minimal residual disease in acute myeloid leukemia.

Authors:  Fabio Guolo; Paola Minetto; Marino Clavio; Maurizio Miglino; Federica Galaverna; Anna Maria Raiola; Carmen Di Grazia; Nicoletta Colombo; Sarah Pozzi; Adalberto Ibatici; Samuele Bagnasco; Daniela Guardo; Annalisa Kunkl; Filippo Ballerini; Chiara Ghiggi; Roberto M Lemoli; Marco Gobbi; Andrea Bacigalupo
Journal:  Haematologica       Date:  2017-05-11       Impact factor: 9.941

2.  MRD evaluation of AML in clinical practice: are we there yet?

Authors:  Sylvie D Freeman; Christopher S Hourigan
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2019-12-06

Review 3.  Measurable residual disease testing in acute myeloid leukaemia.

Authors:  C S Hourigan; R P Gale; N J Gormley; G J Ossenkoppele; R B Walter
Journal:  Leukemia       Date:  2017-04-07       Impact factor: 11.528

Review 4.  Minimal Residual Disease in Acute Myeloid Leukemia.

Authors:  Pamela J Sung; Selina M Luger
Journal:  Curr Treat Options Oncol       Date:  2017-01

5.  Association of hematologic response and assay sensitivity on the prognostic impact of measurable residual disease in acute myeloid leukemia: a systematic review and meta-analysis.

Authors:  Nicholas J Short; Chenqi Fu; Donald A Berry; Roland B Walter; Sylvie D Freeman; Christopher S Hourigan; Xuelin Huang; Graciela Nogueras Gonzalez; Hyunsoo Hwang; Xinyue Qi; Hagop Kantarjian; Shouhao Zhou; Farhad Ravandi
Journal:  Leukemia       Date:  2022-10-19       Impact factor: 12.883

6.  Postremission sequential monitoring of minimal residual disease by WT1 Q-PCR and multiparametric flow cytometry assessment predicts relapse and may help to address risk-adapted therapy in acute myeloid leukemia patients.

Authors:  Michele Malagola; Cristina Skert; Erika Borlenghi; Marco Chiarini; Chiara Cattaneo; Enrico Morello; Valeria Cancelli; Federica Cattina; Elisa Cerqui; Chiara Pagani; Angela Passi; Rossella Ribolla; Simona Bernardi; Viviana Giustini; Cinzia Lamorgese; Giuseppina Ruggeri; Luisa Imberti; Luigi Caimi; Domenico Russo; Giuseppe Rossi
Journal:  Cancer Med       Date:  2015-12-29       Impact factor: 4.452

Review 7.  Minimal Residual Disease in Acute Myeloid Leukemia: Still a Work in Progress?

Authors:  Federico Mosna; Debora Capelli; Michele Gottardi
Journal:  J Clin Med       Date:  2017-06-03       Impact factor: 4.241

8.  [Minimal residual disease level predicts outcomes in the non-favorable risk patients with acute myeloid leukemia].

Authors:  X Ren; T Zhao; J Wang; H H Zhu; H Jiang; J S Jia; S M Yang; B Jiang; D B Wang; X J Huang; Q Jiang
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2017-07-14

9.  Sensitive and broadly applicable residual disease detection in acute myeloid leukemia using flow cytometry-based leukemic cell enrichment followed by mutational profiling.

Authors:  Shruti Daga; Angelika Rosenberger; Karl Kashofer; Ellen Heitzer; Franz Quehenberger; Iris Halbwedl; Ricarda Graf; Nina Krisper; Barbara Prietl; Gerald Höfler; Andreas Reinisch; Armin Zebisch; Heinz Sill; Albert Wölfler
Journal:  Am J Hematol       Date:  2020-06-29       Impact factor: 10.047

10.  Measurable Residual Disease Detected by Multiparameter Flow Cytometry and Sequencing Improves Prediction of Relapse and Survival in Acute Myeloid Leukemia.

Authors:  Fu-Jia Liu; Wen-Yan Cheng; Xiao-Jing Lin; Shi-Yang Wang; Tian-Yi Jiang; Ting-Ting Ma; Yong-Mei Zhu; Yang Shen
Journal:  Front Oncol       Date:  2021-05-20       Impact factor: 6.244

  10 in total

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