Literature DB >> 11568016

Serum osteoprotegerin levels are reduced in patients with multiple myeloma with lytic bone disease.

C Seidel1, Ø Hjertner, N Abildgaard, L Heickendorff, M Hjorth, J Westin, J L Nielsen, H Hjorth-Hansen, A Waage, A Sundan, M Børset.   

Abstract

Osteoprotegerin (OPG), the neutralizing decoy receptor for the osteoclast activator RANK ligand, was measured in serum taken from patients with multiple myeloma at the time of diagnosis. Median OPG was lower in the patients with myeloma (7.4 ng/mL; range, 2.6-80; n = 225) than in healthy age- and sex-matched controls (9.0 ng/mL; range 5.1-130; n = 40; P =.02). Importantly, OPG levels were associated with degree of radiographically assessed skeletal destruction (P =.01). The median OPG level in patients lacking osteolytic lesions was 9.1 ng/mL, as compared with 7.6 ng/mL and 7.0 ng/mL, respectively, in patients with minor or advanced osteolytic disease. Furthermore, OPG levels were associated with World Health Organization performance status (P =.003) and correlated to serum levels of carboxy-terminal propeptide of type I procollagen (PICP; P <.001) but not with clinical stage or survival. These findings suggest impaired OPG function in myeloma and give a rationale for OPG as a therapeutic agent against myeloma bone disease.

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Year:  2001        PMID: 11568016     DOI: 10.1182/blood.v98.7.2269

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  30 in total

1.  Targeting bone as a therapy for myeloma.

Authors:  Ping Wu; Gareth J Morgan
Journal:  Cancer Microenviron       Date:  2011-08-11

Review 2.  Bone disease in multiple myeloma.

Authors:  Øyvind Hjertner; Therese Standal; Magne Børset; Anders Sundan; Anders Waage
Journal:  Med Oncol       Date:  2006       Impact factor: 3.064

Review 3.  Novel therapeutic targets in myeloma bone disease.

Authors:  S L Webb; C M Edwards
Journal:  Br J Pharmacol       Date:  2014-08       Impact factor: 8.739

4.  A new ten-gene risk fraction model serving as prognostic indicator for clinical outcome of multiple myeloma.

Authors:  Ai-Xin Hu; Zhi-Yong Huang; Ping Liu; Tian Xiang; Shi Yan; Li Zhang
Journal:  Tumour Biol       Date:  2016-10-05

5.  Mechanisms of multiple myeloma bone disease.

Authors:  Deborah L Galson; Rebecca Silbermann; G David Roodman
Journal:  Bonekey Rep       Date:  2012-08-01

Review 6.  Dissecting the multiple myeloma-bone microenvironment reveals new therapeutic opportunities.

Authors:  G Shay; L Hazlehurst; C C Lynch
Journal:  J Mol Med (Berl)       Date:  2015-10-01       Impact factor: 4.599

Review 7.  Relationship between serum RANKL and RANKL in bone.

Authors:  D M Findlay; G J Atkins
Journal:  Osteoporos Int       Date:  2011-08-18       Impact factor: 4.507

Review 8.  Myeloma and Bone Disease.

Authors:  Cristina Panaroni; Andrew J Yee; Noopur S Raje
Journal:  Curr Osteoporos Rep       Date:  2017-10       Impact factor: 5.096

9.  Unusual association between increased bone resorption and presence of paroxysmal nocturnal hemoglobinuria phenotype in multiple myeloma.

Authors:  Evangelos Terpos; Michalis Samarkos; Christos Meletis; Effie Apostolidou; Maria Tsironi; Konstantinos Korovesis; Despina Mavrogianni; Nora Viniou; John Meletis
Journal:  Int J Hematol       Date:  2003-11       Impact factor: 2.490

Review 10.  The pathogenesis of the bone disease of multiple myeloma.

Authors:  Claire M Edwards; Junling Zhuang; Gregory R Mundy
Journal:  Bone       Date:  2008-02-21       Impact factor: 4.398

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