Multiple myeloma, an incurable disease characterized by uncontrolled proliferation of Ig-secreting plasma cells, is the second most frequent hematologic malignancies. By virtue of its clinical, biological, and molecular heterogeneity, it represents a distinctive challenge for the application of new high-throughput technologies, with the aims of a better comprehension of the molecular basis of the disease, a fine stratification and early identification of high-risk patients, and to gain insights towards targeted therapy. Particularly, over the last decade, global gene and microRNA expression, and genome-wide DNA profilings have been widely used to investigate the genomic alterations underlying the bio-clinical heterogeneity in multiple myeloma. Each approach led to promising results, either per se or when the data have been analyzed in an integrated fashion. Herein, we describe some of the most referenced or peculiar -omic approaches that had significantly improved the knowledge of multiple myeloma disease.
|Title of host publication||Cancer Genomics: Molecular Classification, Prognosis and Response Prediction|
|Number of pages||28|
|ISBN (Print)||9789400758421, 9400758413, 9789400758414|
|Publication status||Published - Sep 1 2014|
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