Literature DB >> 30411265

Minimal Residual Disease in Multiple Myeloma: Impact on Response Assessment, Prognosis and Tumor Heterogeneity.

Natalie Berger1, Seunghee Kim-Schulze2, Samir Parekh3.   

Abstract

Multiple Myeloma (MM) therapy has evolved rapidly over the past decade. With current multidrug combinations and autologous transplant, rates of overall response exceed 90% and complete response (CR) more than 50% in some studies. Unfortunately, despite higher rates of CR, relapse rates remain high suggesting that persistent disease may not be measured by current techniques. Traditionally, response rates were defined by urine and serum protein electrophoresis, immunofixation and histopathological absence of clonal plasma cells in the bone marrow. Currently, there are several validated sensitive assays to evaluate for MRD (minimal residual disease); multiparameter flow cytometry (MFC) including nextgeneration flow cytometry (NGF), next-generation sequencing (NGS), and allele specific oligonucleotide quantitative polymerase chain reaction (ASO-qPCR). These methods have provided a means to quantitatively assess residual disease and accurately prognosticate PFS and OS in myeloma. In this chapter, we will discuss the current techniques for MRD detection as well as describe techniques that are emerging for improved characterization of drug resistant residual populations that could be adapted for MRD monitoring in the future. While improved therapies are able to eradicate the dominant clone, resistant sub-clones persist and remain undetectable even by MRD techniques. Characterization of these clones will help design therapies against drug-resistant clones and move us closer to a cure in MM.

Entities:  

Keywords:  ASO-qPCR; Bone marrow; CD138; ECM; MRD; Mass cytometry; Microenvironment; Multiparametric flow cytometry; Multiple myeloma; Next generation sequencing

Mesh:

Year:  2018        PMID: 30411265     DOI: 10.1007/978-3-319-97746-1_9

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  7 in total

1.  Mechanical segregation and capturing of clonal circulating plasma cells in multiple myeloma using micropillar-integrated microfluidic device.

Authors:  Dongfang Ouyang; Yonghua Li; Wenqi He; Weicong Lin; Lina Hu; Chen Wang; Liangcheng Xu; Jaewon Park; Lidan You
Journal:  Biomicrofluidics       Date:  2019-11-19       Impact factor: 2.800

2.  SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery.

Authors:  Siwen Hu-Lieskovan; Srabani Bhaumik; Kavita Dhodapkar; Jean-Charles J B Grivel; Sumati Gupta; Brent A Hanks; Sylvia Janetzki; Thomas O Kleen; Yoshinobu Koguchi; Amanda W Lund; Cristina Maccalli; Yolanda D Mahnke; Ruslan D Novosiadly; Senthamil R Selvan; Tasha Sims; Yingdong Zhao; Holden T Maecker
Journal:  J Immunother Cancer       Date:  2020-12       Impact factor: 13.751

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

Authors:  Megan Othus; Robert Peter Gale; Christopher S Hourigan; Roland B Walter
Journal:  Bone Marrow Transplant       Date:  2019-10-30       Impact factor: 5.483

4.  Expression of interleukin-32 in bone marrow of patients with myeloma and its prognostic significance.

Authors:  Gang Wang; Fang-Ying Ning; Jia-Heng Wang; Hai-Meng Yan; Hong-Wei Kong; Yu-Ting Zhang; Qiang Shen
Journal:  World J Clin Cases       Date:  2019-12-26       Impact factor: 1.337

Review 5.  Drug resistance and minimal residual disease in multiple myeloma.

Authors:  Alessandro Gozzetti; Sara Ciofini; Anna Sicuranza; Paola Pacelli; Donatella Raspadori; Emanuele Cencini; Dania Tocci; Monica Bocchia
Journal:  Cancer Drug Resist       Date:  2022-02-16

Review 6.  Minimal residual disease detection by next-generation sequencing in multiple myeloma: Promise and challenges for response-adapted therapy.

Authors:  Valeria Ferla; Elena Antonini; Tommaso Perini; Francesca Farina; Serena Masottini; Simona Malato; Sarah Marktel; Maria Teresa Lupo Stanghellini; Cristina Tresoldi; Fabio Ciceri; Magda Marcatti
Journal:  Front Oncol       Date:  2022-08-16       Impact factor: 5.738

Review 7.  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

  7 in total

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