title: How can bone turnover markers be best utilized for prediction of skeletal events in patients with solid tumors?
authors.affiliation: University of Texas Health Science Center at San Antonio, Department of Cellular and Structural Biology, TX 78229-3900, USA. mundy@uthscsa.edu
authors.forename: Gregory R
authors.initials: GR
authors.lastname: Mundy
mesh_terms: D000368:Aged; D000469:Alkaline Phosphatase / Q000652:urine*; D015415:Biomarkers / Q000652:urine*; D001859:Bone Neoplasms / Q000473:pathology*; D001862:Bone Resorption / Q000503:physiopathology*; D015331:Cohort Studies; D003094:Collagen / Q000652:urine*; D024042:Collagen Type I; D005260:Female; D050723:Fractures, Bone / Q000209:etiology; D006801:Humans; D008297:Male; D009369:Neoplasms / Q000473:pathology; D010146:Pain / Q000209:etiology; D010455:Peptides / Q000652:urine*; D011379:Prognosis; D011788:Quality of Life; D018570:Risk Assessment; D013117:Spinal Cord Compression / Q000209:etiology
chemical_list: D015415:Biomarkers; D024042:Collagen Type I; D010455:Peptides; C052929:collagen type I trimeric cross-linked peptide; D003094:Collagen; D000469:Alkaline Phosphatase