title: The promise of bone cancer proteomics.
abstract: Mass spectrometric analysis of the low-molecular-weight (LMW) range of the serum/plasma proteome is revealing the existence of large numbers of previously unknown peptides and protein fragments, predicted to be derived from circulating low-abundance proteins. While genomics and proteomics are the primary discovery research tool, recent innovations in high-throughput proteomics are now standard practice for biomarker and target discovery. Surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry (MS) is the current mainstay for serum or plasma analysis, although other methods are emerging as alternative high-throughput approaches. From a proteomics perspective, the bone cancers, such as myeloma, breast and prostate cancer bony metastases, and osteosarcoma, are likely among the least studied. As recent advances in proteomic technology have thrust the bone cancer field into the era of proteomics, a review of the current status of the proteome as it relates to the skeletal consequences of malignancy seems reasonable.
authors.affiliation: Department of Orthopaedic Surgery, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
authors.forename: Stephanie
authors.initials: S
authors.lastname: Byrum
authors.forename: Corey O
authors.initials: CO
authors.lastname: Montgomery
authors.forename: Richard W
authors.initials: RW
authors.lastname: Nicholas
authors.forename: Larry J
authors.initials: LJ
authors.lastname: Suva
mesh_terms: D000818:Animals; D001859:Bone Neoplasms / Q000378:metabolism* / Q000556:secondary; D001943:Breast Neoplasms / Q000378:metabolism / Q000473:pathology; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D009101:Multiple Myeloma / Q000378:metabolism* / Q000556:secondary; D012516:Osteosarcoma / Q000378:metabolism* / Q000556:secondary; D011471:Prostatic Neoplasms / Q000378:metabolism / Q000473:pathology; D020543:Proteome / Q000032:analysis / Q000378:metabolism; D040901:Proteomics / Q000379:methods / Q000639:trends*
chemical_list: D020543:Proteome