Literature DB >> 29759147

Minimal residual disease detection of myeloma using sequencing of immunoglobulin heavy chain gene VDJ regions.

Caleb Ho1, Maria E Arcila2.   

Abstract

After therapy or stem cell transplantation, multiple myeloma patients achieving complete response or stringent complete response can still have a significant risk of disease relapse. This highlights the importance of using highly sensitive laboratory methods for minimal residual disease detection and prognostication. Older methods such as allele-specific oligonucleotide real time quantitative polymerase chain reaction and fluorescent polymerase chain reaction have their drawbacks. Meanwhile, the recent generation of multiparametric flow cytometry and next-generation sequencing (NGS)-based detection methods currently offer the highest technical sensitivities, and are likely to gain more widespread use and be recognized as the standard of care for disease monitoring in myeloma patients.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Keywords:  Minimal residual disease; Myeloma; Next-generation sequencing; VDJ sequencing

Mesh:

Year:  2018        PMID: 29759147     DOI: 10.1053/j.seminhematol.2018.02.007

Source DB:  PubMed          Journal:  Semin Hematol        ISSN: 0037-1963            Impact factor:   3.851


  7 in total

Review 1.  Monitoring minimal residual disease in the bone marrow using next generation sequencing.

Authors:  Even H Rustad; Eileen M Boyle
Journal:  Best Pract Res Clin Haematol       Date:  2020-01-17       Impact factor: 3.020

2.  Capture Rate of V(D)J Sequencing for Minimal Residual Disease Detection in Multiple Myeloma.

Authors:  Malin Hultcrantz; Even H Rustad; Venkata Yellapantula; Allison Jacob; Theresia Akhlaghi; Neha Korde; Sham Mailankody; Alexander M Lesokhin; Hani Hassoun; Eric L Smith; Oscar B Lahoud; Heather J Landau; Gunjan L Shah; Michael Scordo; David J Chung; Sergio Giralt; Elli Papaemmanuil; Ola Landgren
Journal:  Clin Cancer Res       Date:  2022-05-13       Impact factor: 13.801

3.  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 4.  Minimal Residual Disease Assessment Within the Bone Marrow of Multiple Myeloma: A Review of Caveats, Clinical Significance and Future Perspectives.

Authors:  Alessandra Romano; Giuseppe Alberto Palumbo; Nunziatina Laura Parrinello; Concetta Conticello; Marina Martello; Carolina Terragna
Journal:  Front Oncol       Date:  2019-08-20       Impact factor: 6.244

Review 5.  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 6.  Current Knowledge in Genetics, Molecular Diagnostic Tools, and Treatments for Mantle Cell Lymphomas.

Authors:  Shenon Sethi; Zachary Epstein-Peterson; Anita Kumar; Caleb Ho
Journal:  Front Oncol       Date:  2021-11-23       Impact factor: 6.244

Review 7.  Minimal Residual Disease Assessment in Multiple Myeloma Patients: Minimal Disease With Maximal Implications.

Authors:  Charalampos Charalampous; Taxiarchis Kourelis
Journal:  Front Oncol       Date:  2022-01-26       Impact factor: 6.244

  7 in total

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