Literature DB >> 31666655

Statistics and measurable residual disease (MRD) testing: uses and abuses in hematopoietic cell transplantation.

Megan Othus1, Robert Peter Gale2, Christopher S Hourigan3, Roland B Walter4,5,6,7.   

Abstract

SERIES EDITORS' NOTE: The decision whether to recommend a transplant to someone with acute leukemia in first remission is complex and challenging. Diverse, often confounded co-variates interact to influence one's recommendation. Briefly, the decision metric can be viewed in three spheres: (1) subject-; (2) transplant-; and (3) disease-related co-variates. Subject-related co-variates include items such as age and comorbidities. Transplant-related co-variates include items such as donor-types, graft source, proposed conditioning and pre- and post-transplant immune suppression.But what of disease-related variables? Previously haematologists relied on co-variates such as WBC at diagnosis, chemotherapy cycles to achieve first remission, cytogenetics and most recently, mutation topography. However, these co-variates have largely been replaced by results of measurable residual disease (MRD)-testing. Many chemotherapy-only and transplant studies report strong correlations between results of MRD-testing on therapy outcomes such as cumulative incidence of relapse (CIR), leukemia-free survival (LFS) or survival. (CIR makes biological sense in a transplant context whereas LFS and survival do not give competing causes of death such as transplant-related mortality (TRM), graft-versus-host disease and interstitial pneumonia unrelated to relapse probability).This raises the question of how useful results are of MRD-testing in predicting CIR after transplants. Elsewhere we discussed accuracy and precision of MRD-testing in predicting outcomes of therapy of acute myeloid leukemia (Estey E, Gale RP. Leukemia 31:1255-1258, 2017; Hourigan CS, Gale RP, Gormley NJ, Ossenkoppele GJ, Walter RB. Leukemia 31:1482-1490, 2017). Briefly put, not terribly good. Although results of MRD-testing are often the most powerful predictor of CIR in multivariable analyses, the C-statistic (a measure of prediction accuracy) is often only about 0.75. This is much better than flipping a fair coin but far from ideal.In the typescript which follows, Othus and colleagues discuss statistical issues underlying MRD-testing in the context of haematopoietic cell transplants. We hope readers, especially haematologists who often need to make transplant recommendations to people with acute leukemia in first remission, will read it carefully and critically. The bottom line is MRD-test data are useful but considerable uncertainty is unavoidable with substantial false-positive and -negative rates. We need to acknowledge this uncertainty to ourselves and to the people we counsel. The authors quote Voltaire who said: Doubt is not a pleasant condition, but certainty is an absurd one. Sadly so, but we do the best we can. Robert Peter Gale, Imperial College London, and Mei-Jie Zhang, Medical College of Wisconsin and CIBMTR.

Entities:  

Mesh:

Year:  2019        PMID: 31666655      PMCID: PMC7462748          DOI: 10.1038/s41409-019-0729-4

Source DB:  PubMed          Journal:  Bone Marrow Transplant        ISSN: 0268-3369            Impact factor:   5.483


  47 in total

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Authors:  Philip A Thompson; William G Wierda
Journal:  Blood       Date:  2015-11-17       Impact factor: 22.113

Review 2.  Minimal residual disease-guided therapy in childhood acute lymphoblastic leukemia.

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Journal:  Blood       Date:  2017-02-06       Impact factor: 22.113

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Journal:  Leuk Lymphoma       Date:  2017-05-16

Review 4.  Minimal residual disease in adult ALL: technical aspects and implications for correct clinical interpretation.

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Journal:  Blood Adv       Date:  2017-11-28

Review 5.  Minimal residual disease in chronic lymphocytic leukemia: A consensus paper that presents the clinical impact of the presently available laboratory approaches.

Authors:  Ciprian Tomuleasa; Cristina Selicean; Sonia Cismas; Anca Jurj; Mirela Marian; Delia Dima; Sergiu Pasca; Bobe Petrushev; Vlad Moisoiu; Wilhelm-Thomas Micu; Anna Vischer; Kanza Arifeen; Sonia Selicean; Mihnea Zdrenghea; Horia Bumbea; Alina Tanase; Ravnit Grewal; Laura Pop; Carmen Aanei; Ioana Berindan-Neagoe
Journal:  Crit Rev Clin Lab Sci       Date:  2018-05-25       Impact factor: 6.250

Review 6.  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 7.  Best Practices in Chronic Myeloid Leukemia Monitoring and Management.

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Review 8.  Minimal Residual Disease Assessment and Risk-based Therapy in Acute Lymphoblastic Leukemia.

Authors:  Renato Bassan; Tamara Intermesoli; Annamaria Scattolin; Piera Viero; Elena Maino; Rosaria Sancetta; Francesca Carobolante; Francesca Gianni; Paola Stefanoni; Manuela Tosi; Orietta Spinelli; Alessandro Rambaldi
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2017-07

Review 9.  Minimal Residual Disease in Acute Lymphoblastic Leukemia: Technical and Clinical Advances.

Authors:  Irene Della Starza; Sabina Chiaretti; Maria S De Propris; Loredana Elia; Marzia Cavalli; Lucia A De Novi; Roberta Soscia; Monica Messina; Antonella Vitale; Anna Guarini; Robin Foà
Journal:  Front Oncol       Date:  2019-08-07       Impact factor: 6.244

Review 10.  Minimal/measurable residual disease in AML: a consensus document from the European LeukemiaNet MRD Working Party.

Authors:  Gerrit J Schuurhuis; Michael Heuser; Sylvie Freeman; Marie-Christine Béné; Francesco Buccisano; Jacqueline Cloos; David Grimwade; Torsten Haferlach; Robert K Hills; Christopher S Hourigan; Jeffrey L Jorgensen; Wolfgang Kern; Francis Lacombe; Luca Maurillo; Claude Preudhomme; Bert A van der Reijden; Christian Thiede; Adriano Venditti; Paresh Vyas; Brent L Wood; Roland B Walter; Konstanze Döhner; Gail J Roboz; Gert J Ossenkoppele
Journal:  Blood       Date:  2018-01-12       Impact factor: 25.476

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Journal:  Leukemia       Date:  2021-03-23       Impact factor: 11.528

Review 3.  Circulating Tumor DNA in Pediatric Cancer.

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Journal:  Front Mol Biosci       Date:  2022-05-12

4.  Impact of depth of clinical response on outcomes of acute myeloid leukemia patients in first complete remission who undergo allogeneic hematopoietic cell transplantation.

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Journal:  Bone Marrow Transplant       Date:  2021-04-16       Impact factor: 5.483

5.  Pre-HCT mosaicism increases relapse risk and lowers survival in acute lymphoblastic leukemia patients post-unrelated HCT.

Authors:  Yiwen Wang; Weiyin Zhou; Junke Wang; Ezgi Karaesmen; Hancong Tang; Philip L McCarthy; Marcelo C Pasquini; Youjin Wang; Lisa J McReynolds; Hormuzd A Katki; Mitchell J Machiela; Meredith Yeager; Loreall Pooler; Xin Sheng; Christopher A Haiman; David Van Den Berg; Stephen R Spellman; Tao Wang; Michelle Kuxhausen; Stephen J Chanock; Stephanie J Lee; Alyssa I Clay-Gilmour; Theresa E Hahn; Shahinaz M Gadalla; Lara E Sucheston-Campbell
Journal:  Blood Adv       Date:  2021-01-12

Review 6.  MRD Monitoring by Multiparametric Flow Cytometry in AML: Is It Time to Incorporate Immune Parameters?

Authors:  Ilias Pessach; Theodoros Spyropoulos; Eleftheria Lamprianidou; Ioannis Kotsianidis
Journal:  Cancers (Basel)       Date:  2022-09-01       Impact factor: 6.575

7.  Editorial: Acute myeloid leukemia (AML): Is it time for MRD-driven treatment?

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Journal:  Front Oncol       Date:  2022-09-09       Impact factor: 5.738

8.  Decisions in HCT and wine-making.

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Journal:  Bone Marrow Transplant       Date:  2020-06-07       Impact factor: 5.174

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