Literature DB >> 29265356

Molecular detection of minimal residual disease in multiple myeloma.

Yinlei Bai1, Alberto Orfao2, Chor Sang Chim1.   

Abstract

Despite the significantly higher complete remission rates and improved survival achieved in the last decade, multiple myeloma (MM) patients continue to relapse due to persistence of minimal residual disease (MRD). Generally, MRD refers to persistence of low levels of disease in the order of one tumour cell in ≥105 normal cells. Currently, molecular and immunophenotypic techniques are employed for MRD detection. This review focuses on MRD detection by molecular techniques, including allele-specific oligonucleotide polymerase chain reaction (ASO-PCR), next-generation sequencing (NGS) and digital PCR (dPCR), in addition to a brief description of, and comparison with, multiparameter flow cytometry. The basic principles, technical advantages and limitations, and the clinical impact of all three molecular techniques are reviewed and compared. They all have a sensitivity of at least 10-5 , among which ASO real-time quantitative PCR is the most well-standardized, and NGS carries the highest sensitivity and applicability, while dPCR is still under investigation. Furthermore, molecular MRD negativity is a favourable prognostic factor for survival of patients with MM. However, several challenges inherent to molecular detection of MRD still remain to be overcome, particularly false negativity and failure to detect extramedullary disease. Finally, detection of MRD from peripheral blood remains challenging.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  allele-specific oligonucleotide PCR; digital PCR; minimal residual disease; multiple myeloma; next-generation sequencing

Mesh:

Year:  2017        PMID: 29265356     DOI: 10.1111/bjh.15075

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  14 in total

1.  OPUSeq simplifies detection of low-frequency DNA variants and uncovers fragmentase-associated artifacts.

Authors:  Alisa Alekseenko; Jingwen Wang; Donal Barrett; Vicent Pelechano
Journal:  NAR Genom Bioinform       Date:  2022-06-27

2.  Understanding Drug Sensitivity and Tackling Resistance in Cancer.

Authors:  Jeffrey W Tyner; Franziska Haderk; Anbarasu Kumaraswamy; Linda B Baughn; Brian Van Ness; Song Liu; Himangi Marathe; Joshi J Alumkal; Trever G Bivona; Keith Syson Chan; Brian J Druker; Alan D Hutson; Peter S Nelson; Charles L Sawyers; Christopher D Willey
Journal:  Cancer Res       Date:  2022-04-15       Impact factor: 13.312

3.  Epigenetic silencing of long non-coding RNA BM742401 in multiple myeloma: impact on prognosis and myeloma dissemination.

Authors:  Zhenhai Li; Shaji Kumar; Dong-Yan Jin; George A Calin; Wee-Joo Chng; Kam-Leung Siu; Ming-Wai Poon; Chor Sang Chim
Journal:  Cancer Cell Int       Date:  2020-08-25       Impact factor: 5.722

Review 4.  New Molecular Technologies for Minimal Residual Disease Evaluation in B-Cell Lymphoid Malignancies.

Authors:  Irene Dogliotti; Daniela Drandi; Elisa Genuardi; Simone Ferrero
Journal:  J Clin Med       Date:  2018-09-18       Impact factor: 4.241

5.  Baseline identification of clonal V(D)J sequences for DNA-based minimal residual disease detection in multiple myeloma.

Authors:  Even H Rustad; Malin Hultcrantz; Venkata D Yellapantula; Theresia Akhlaghi; Caleb Ho; Maria E Arcila; Mikhail Roshal; Akshar Patel; Denise Chen; Sean M Devlin; Austin Jacobsen; Ying Huang; Jeffrey E Miller; Elli Papaemmanuil; Ola Landgren
Journal:  PLoS One       Date:  2019-03-22       Impact factor: 3.240

Review 6.  Minimal Residual Disease Monitoring with Next-Generation Sequencing Methodologies in Hematological Malignancies.

Authors:  Ricardo Sánchez; Rosa Ayala; Joaquín Martínez-López
Journal:  Int J Mol Sci       Date:  2019-06-10       Impact factor: 5.923

Review 7.  The future of myeloma precision medicine: integrating the compendium of known drug resistance mechanisms with emerging tumor profiling technologies.

Authors:  Taylor Harding; Linda Baughn; Shaji Kumar; Brian Van Ness
Journal:  Leukemia       Date:  2019-01-25       Impact factor: 11.528

Review 8.  Hunting down the dominating subclone of cancer stem cells as a potential new therapeutic target in multiple myeloma: An artificial intelligence perspective.

Authors:  Lisa X Lee; Shengwen Calvin Li
Journal:  World J Stem Cells       Date:  2020-08-26       Impact factor: 5.326

9.  Comparison of next-generation sequencing (NGS) and next-generation flow (NGF) for minimal residual disease (MRD) assessment in multiple myeloma.

Authors:  Alejandro Medina; Noemi Puig; Juan Flores-Montero; Cristina Jimenez; M-Eugenia Sarasquete; María Garcia-Alvarez; Isabel Prieto-Conde; Carmen Chillon; Miguel Alcoceba; Norma C Gutierrez; Albert Oriol; Laura Rosinol; Joan Bladè; Mercedes Gironella; Miguel T Hernandez; Veronica Gonzalez-Calle; Maria-Teresa Cedena; Bruno Paiva; Jesus F San-Miguel; Juan-Jose Lahuerta; Maria-Victoria Mateos; Joaquin Martinez-Lopez; Alberto Orfao; Marcos Gonzalez; Ramon Garcia-Sanz
Journal:  Blood Cancer J       Date:  2020-10-30       Impact factor: 11.037

Review 10.  Minimal Residual Disease in Multiple Myeloma: State of the Art and Applications in Clinical Practice.

Authors:  Alessandro Gozzetti; Donatella Raspadori; Francesca Bacchiarri; Anna Sicuranza; Paola Pacelli; Ilaria Ferrigno; Dania Tocci; Monica Bocchia
Journal:  J Pers Med       Date:  2020-09-10
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