Literature DB >> 28561668

Established and Novel Prognostic Biomarkers in Multiple Myeloma.

Mark Bustoros1, Tarek H Mouhieddine1, Alexandre Detappe1, Irene M Ghobrial1.   

Abstract

Multiple myeloma (MM) is an incurable plasma cell malignancy characterized by notable interpatient heterogeneity. There have been important advances in therapy and overall survival, but some patients with high-risk features still have poor survival rates. Therefore, accurate identification of this subset of patients has been integral to improvement of patient outcome. During the last few years, cytogenetics, gene expression profiling, MRI and PET/CT, as well as serum free light chain assays have been used as accurate biomarkers to better characterize the diverse course and outcome of the disease. With the recent advances of massive parallel sequencing techniques, the development of new models that better stratify high-risk groups are beginning to be developed. The use of multiparameter flow cytometry and next-generation sequencing have paved the way for assessment of minimal residual disease and better prognostication of post-therapeutic outcomes. Circulating tumor cells and circulating tumor DNA are promising potential biomarkers that demonstrate the spatial and temporal heterogeneity of MM. Finally, more prognostic markers are being developed that are specific to immunotherapeutic agents. In this review, we discuss these traditional and novel biomarkers that have been developed for MM and also those that can predict disease progression from precursor stages. Together, these biomarkers will help improve our understanding of the intrapatient and interpatient variabilities and help develop precision medicine for patients with high-risk MM.

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Year:  2017        PMID: 28561668     DOI: 10.1200/EDBK_175175

Source DB:  PubMed          Journal:  Am Soc Clin Oncol Educ Book        ISSN: 1548-8748


  6 in total

1.  Identification and monitoring of Copy Number Variants (CNV) in monoclonal gammopathy.

Authors:  Fabio Sallustio; Claudia Curci; Antonio Giovanni Solimando; Patrizia Leone; Paola Pontrelli; Loreto Gesualdo; Angelo Vacca; Vito Racanelli; Anna Gallone
Journal:  Cancer Biol Ther       Date:  2021-07-21       Impact factor: 4.875

2.  Novel risk stratification algorithm for estimating the risk of death in patients with relapsed multiple myeloma: external validation in a retrospective chart review.

Authors:  Roman Hájek; Sebastian Gonzalez-McQuire; Zsolt Szabo; Michel Delforge; Lucy DeCosta; Marc S Raab; Walter Bouwmeester; Marco Campioni; Andrew Briggs
Journal:  BMJ Open       Date:  2020-07-14       Impact factor: 2.692

3.  Serum Levels of Interleukin-8 and Soluble Interleukin-6 Receptor in Patients with Stage-I Multiple Myeloma: A Case-Control Study.

Authors:  Maryam Kohsari; Mohammad-Hassan Khadem-Ansari; Yousef Rasmi; Hojjat Sayyadi
Journal:  Asian Pac J Cancer Prev       Date:  2020-01-01

Review 4.  Potential Clinical Application of Genomics in Multiple Myeloma.

Authors:  Cinnie Yentia Soekojo; Sanjay de Mel; Melissa Ooi; Benedict Yan; Wee Joo Chng
Journal:  Int J Mol Sci       Date:  2018-06-10       Impact factor: 5.923

Review 5.  The NF-κB Activating Pathways in Multiple Myeloma.

Authors:  Payel Roy; Uday Aditya Sarkar; Soumen Basak
Journal:  Biomedicines       Date:  2018-05-16

Review 6.  CART-Cell Therapy: Recent Advances and New Evidence in Multiple Myeloma.

Authors:  Massimo Martino; Filippo Antonio Canale; Caterina Alati; Iolanda Donatella Vincelli; Tiziana Moscato; Gaetana Porto; Barbara Loteta; Virginia Naso; Massimiliano Mazza; Fabio Nicolini; Andrea Ghelli Luserna di Rorà; Giorgia Simonetti; Sonia Ronconi; Michela Ceccolini; Gerardo Musuraca; Giovanni Martinelli; Claudio Cerchione
Journal:  Cancers (Basel)       Date:  2021-05-27       Impact factor: 6.639

  6 in total

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