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Mechanisms of Drug Resistance in Cancer Therapy

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Attention for Chapter 10: Mechanisms of Resistance in Multiple Myeloma
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Chapter title
Mechanisms of Resistance in Multiple Myeloma
Chapter number 10
Book title
Mechanisms of Drug Resistance in Cancer Therapy
Published in
Handbook of experimental pharmacology, January 2017
DOI 10.1007/164_2017_10
Pubmed ID
Book ISBNs
978-3-03-010506-8, 978-3-03-010507-5
Authors

Athanasios Papadas, Fotis Asimakopoulos

Abstract

Multiple myeloma (MM) is an incurable hematopoietic cancer that is characterized by malignant plasma cell infiltration of the bone marrow and/or extramedullary sites. Multi-modality approaches including "novel agents," traditional chemotherapy, and/or stem cell transplantation are used in MM therapy. Drug resistance, however, ultimately develops and the disease remains incurable for the vast majority of patients. In this chapter, we review both tumor cell-autonomous and non-autonomous (microenvironment-dependent) mechanisms of drug resistance. MM provides an attractive paradigm highlighting a number of current concepts and challenges in oncology. Firstly, identification of MM cancer stem cells and their unique drug resistance attributes may provide rational avenues towards MM eradication and cure. Secondly, the oligoclonal evolution of MM and alternation of "clonal tides" upon therapy challenge our current understanding of treatment responses. Thirdly, the success of MM "novel agents" provides exemplary evidence for the impact of therapies that target the immune and non-immune microenvironment. Fourthly, the rapid pace of drug approvals for MM creates an impetus for development of precision medicine strategies and biomarkers that promote efficacy and mitigate toxicity and cost. While routine cure of the disease remains the ultimate and yet unattainable prize, MM advances in the last 10-15 years have provided an astounding paradigm for the treatment of blood cancers in the modern era and have radically transformed patient outcomes.

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Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 12%
Researcher 5 12%
Other 4 9%
Student > Bachelor 3 7%
Student > Master 3 7%
Other 3 7%
Unknown 20 47%
Readers by discipline Count As %
Medicine and Dentistry 6 14%
Biochemistry, Genetics and Molecular Biology 4 9%
Immunology and Microbiology 3 7%
Agricultural and Biological Sciences 2 5%
Engineering 2 5%
Other 4 9%
Unknown 22 51%