Literature DB >> 30652172

Current and future biomarkers for risk-stratification and treatment personalisation in multiple myeloma.

Giao N Lê1, Jonathan Bones, Mark Coyne, Despina Bazou, Paul Dowling, Peter O'Gorman, Anne-Marie Larkin.   

Abstract

Multiple myeloma, an incurable malignancy of the plasma cells in the bone marrow, has a complex pathogenesis due to clonal heterogeneity. Over the years, many clinical trials and researches have led to the development of effective myeloma treatments, resulting in survival prolongation. Molecular prognostic markers for risk-stratification to predict survival, and predictive markers for treatment response are being extensively explored. This review discusses the current risk-adaptive strategies based on genetic and molecular risk signatures that are in practice to predict survival and describes the future prognostic and predictive biomarkers across the fields of genomics, proteomics, and glycomics in myeloma. Gene expression profiling and next generation sequencing are coming to the forefront of risk-stratification and therapeutic-response prediction. Similarly, proteomic and glycomic-based platforms are gaining momentum in biomarker discovery to predict drug resistance and disease progression.

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Year:  2019        PMID: 30652172     DOI: 10.1039/c8mo00193f

Source DB:  PubMed          Journal:  Mol Omics        ISSN: 2515-4184


  4 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.  Proteomics-inspired precision medicine for treating and understanding multiple myeloma.

Authors:  Matthew Ho; Giada Bianchi; Kenneth C Anderson
Journal:  Expert Rev Precis Med Drug Dev       Date:  2020-02-24

3.  Machine learning predicts treatment sensitivity in multiple myeloma based on molecular and clinical information coupled with drug response.

Authors:  Lucas Venezian Povoa; Carlos Henrique Costa Ribeiro; Israel Tojal da Silva
Journal:  PLoS One       Date:  2021-07-28       Impact factor: 3.240

4.  Development of novel methods for non-canonical myeloma protein analysis with an innovative adaptation of immunofixation electrophoresis, native top-down mass spectrometry, and middle-down de novo sequencing.

Authors:  W Ian Deighan; Valerie J Winton; Rafael D Melani; Lissa C Anderson; John P McGee; Luis F Schachner; David Barnidge; David Murray; H Denis Alexander; David S Gibson; Michael J Deery; Feargal P McNicholl; Joseph McLaughlin; Neil L Kelleher; Paul M Thomas
Journal:  Clin Chem Lab Med       Date:  2020-10-20       Impact factor: 3.694

  4 in total

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