Literature DB >> 31608132

Monitoring of Measurable Residual Disease in Multiple Myeloma by Multiparametric Flow Cytometry.

Kah Teong Soh1, Paul K Wallace1.   

Abstract

Recent interest in high sensitivity multiple myeloma (MM) measurable residual disease (MRD) testing is a direct consequence of the high-quality responses achieved using novel therapeutic agents and better treatment strategies. Traditional diagnostic measures such as immunohistochemistry and morphology have detection sensitivities of only 10-2 - 10-3, which do not reliably predict progression free survival (PFS) or overall survival (OS) after these treatments. Contemporary monitoring of MM MRD has switched to more sensitive platforms such as quantitative allele-specific oligonucleotide polymerase chain reaction (ASO-qPCR), next-generation sequencing (NGS), and multiparametric flow cytometry (MFC). Though both ASO-qPCR and NGS have excellent detection sensitivities (10-5 - 10-6), both technologies have lower applicability when compared to MFC. Conventional MFC can easily reach a detection sensitivity of 10-4 and when optimized can achieve a sensitivity of 10-5 - 10-6. Current consensus guidelines require a minimum of 2 million and recommend 5 million events be acquired to reach a minimum sensitivity of 10-5. As conventional immunophenotyping protocols are unable to attain these numbers, alternative MFC staining procedures are required. This manuscript describes two high-sensitivity MFC approaches that can be used for MM MRD testing.

Entities:  

Keywords:  Bulk-lysis; Flow Cytometry; Measurable Residual Disease; Multiple Myeloma; Plasma Cell; Pooled Tube

Mesh:

Year:  2019        PMID: 31608132      PMCID: PMC6788635          DOI: 10.1002/cpcy.63

Source DB:  PubMed          Journal:  Curr Protoc Cytom        ISSN: 1934-9297


  57 in total

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Authors:  Liat Nadav; Ben-Zion Katz; Shoshana Baron; Lydia Yossipov; Aaron Polliack; Varda Deutsch; Benjamin Geiger; Ellizabeth Naparstek
Journal:  Br J Haematol       Date:  2006-06       Impact factor: 6.998

2.  Limit of blank, limit of detection and limit of quantitation.

Authors:  David A Armbruster; Terry Pry
Journal:  Clin Biochem Rev       Date:  2008-08

Review 3.  Validation of cell-based fluorescence assays: practice guidelines from the ICSH and ICCS - part V - assay performance criteria.

Authors:  Brent Wood; Dragan Jevremovic; Marie C Béné; Ming Yan; Patrick Jacobs; Virginia Litwin
Journal:  Cytometry B Clin Cytom       Date:  2013 Sep-Oct       Impact factor: 3.058

Review 4.  Modern multiple myeloma therapy: deep, sustained treatment response and good clinical outcomes.

Authors:  O Landgren; K Iskander
Journal:  J Intern Med       Date:  2017-02-16       Impact factor: 8.989

5.  Minimal residual disease monitoring by flow cytometry.

Authors:  María B Vidriales; Jesús F San-Miguel; Alberto Orfao; Elaine Coustan-Smith; Dario Campana
Journal:  Best Pract Res Clin Haematol       Date:  2003-12       Impact factor: 3.020

6.  Critical evaluation of ASO RQ-PCR for minimal residual disease evaluation in multiple myeloma. A comparative analysis with flow cytometry.

Authors:  N Puig; M E Sarasquete; A Balanzategui; J Martínez; B Paiva; H García; S Fumero; C Jiménez; M Alcoceba; M C Chillón; E Sebastián; L Marín; M A Montalbán; M V Mateos; A Oriol; L Palomera; J de la Rubia; M B Vidriales; J Bladé; J J Lahuerta; M González; J F S Miguel; R García-Sanz
Journal:  Leukemia       Date:  2013-07-17       Impact factor: 11.528

7.  Minimal residual disease assessed by multiparameter flow cytometry in multiple myeloma: impact on outcome in the Medical Research Council Myeloma IX Study.

Authors:  Andy C Rawstron; J Anthony Child; Ruth M de Tute; Faith E Davies; Walter M Gregory; Sue E Bell; Alexander J Szubert; Nuria Navarro-Coy; Mark T Drayson; Sylvia Feyler; Fiona M Ross; Gordon Cook; Graham H Jackson; Gareth J Morgan; Roger G Owen
Journal:  J Clin Oncol       Date:  2013-06-03       Impact factor: 44.544

Review 8.  Controversies in the assessment of minimal residual disease in multiple myeloma: clinical significance of minimal residual disease negativity using highly sensitive techniques.

Authors:  Noa Biran; Scott Ely; Ajai Chari
Journal:  Curr Hematol Malig Rep       Date:  2014-12       Impact factor: 3.952

9.  Prognostic value of deep sequencing method for minimal residual disease detection in multiple myeloma.

Authors:  Joaquin Martinez-Lopez; Juan J Lahuerta; François Pepin; Marcos González; Santiago Barrio; Rosa Ayala; Noemí Puig; María A Montalban; Bruno Paiva; Li Weng; Cristina Jiménez; María Sopena; Martin Moorhead; Teresa Cedena; Immaculada Rapado; María Victoria Mateos; Laura Rosiñol; Albert Oriol; María J Blanchard; Rafael Martínez; Joan Bladé; Jesús San Miguel; Malek Faham; Ramón García-Sanz
Journal:  Blood       Date:  2014-03-19       Impact factor: 22.113

10.  Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia.

Authors:  A C Logan; B Zhang; B Narasimhan; V Carlton; J Zheng; M Moorhead; M R Krampf; C D Jones; A N Waqar; M Faham; J L Zehnder; D B Miklos
Journal:  Leukemia       Date:  2013-02-19       Impact factor: 11.528

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  1 in total

1.  Mass-Fix better predicts for PFS and OS than standard methods among multiple myeloma patients participating on the STAMINA trial (BMT CTN 0702 /07LT).

Authors:  Angela Dispenzieri; Amrita Krishnan; Bonnie Arendt; Beth Blackwell; Paul K Wallace; Surendra Dasari; Dan T Vogl; Yvonne Efebera; Mingwei Fei; Nancy Geller; Sergio Giralt; Theresa Hahn; Alan Howard; Mindy Kohlhagen; Heather Landau; Parameswaran Hari; Marcelo C Pasquini; Muzaffar H Qazilbash; Philip McCarthy; Nina Shah; David H Vesole; Edward Stadtmauer; David Murray
Journal:  Blood Cancer J       Date:  2022-02-10       Impact factor: 11.037

  1 in total

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