title: Genetics and molecular profiling of multiple myeloma: novel tools for clinical management?
abstract: The understanding of molecular events involved in multiple myeloma (MM) development as well as of mechanisms underlying sensitivity/resistance to anticancer drugs has been dramatically increased by the wide-spread use of modern technologies for genetic analysis, global gene expression and proteomic profiling. Such analytical approaches, which are presently supported by reliable bioinformatic tools, have depicted a new scenario for the development of molecular-based anti-MM agents and for predicting clinical outcome. IgH translocations or a hyperdiploid state are emerging as early genetic signatures of MM which lead to deregulated expression of cyclin D. At present however, the major challenge remains the definition of the potential role of cytogenetic techniques and molecular profiling technologies in individual patient management. Here we will describe the prospective potential and current achievements of such technologies which might produce major advancements in the treatment of this still incurable disease.
authors.affiliation: Medical Oncology Unit, University of Magna Graecia and T. Campanella Cancer Center, Campus Germaneto, Viale Europa, 88100 Catanzaro, Italy.
authors.forename: Pierfrancesco
authors.initials: P
authors.lastname: Tassone
authors.forename: Pierosandro
authors.initials: P
authors.lastname: Tagliaferri
authors.forename: Marco
authors.initials: M
authors.lastname: Rossi
authors.forename: Marco
authors.initials: M
authors.lastname: Gaspari
authors.forename: Rosa
authors.initials: R
authors.lastname: Terracciano
authors.forename: Salvatore
authors.initials: S
authors.lastname: Venuta
mesh_terms: D002869:Chromosome Aberrations; D020732:Cytogenetic Analysis / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods; D015316:Genetic Therapy / Q000379:methods*; D006801:Humans; D009101:Multiple Myeloma / Q000235:genetics* / Q000473:pathology / Q000628:therapy; D010950:Plasma Cells / Q000473:pathology; D040901:Proteomics / Q000379:methods