Literature DB >> 3262366

Biochemical prediction of response of bone metastases to treatment.

R E Coleman1, K B Whitaker, D W Moss, G Mashiter, I Fogelman, R D Rubens.   

Abstract

Assessment of response of skeletal metastases to systemic therapy is currently dependent on radiological evidence of bone healing. We have performed a prospective study of additional response criteria in patients with progressive bone metastases from breast cancer. Changes in these potential markers of response were correlated with the radiological response and the time to treatment failure (TTF). Successful systemic therapy typically led to a transient increase in osteoblast activity ('flare'), a reduction in osteoclast activity and symptomatic improvement. After 1 month a greater than 10% rise in serum osteocalcin (BGP) and alkaline phosphatase bone isoenzyme (ALP-BI) and a greater than 10% fall in urinary calcium excretion were seen in 14/16 patients with radiographic evidence of bone healing (UICC partial responders). In comparison similar biochemical changes at 1 month were seen in only 4/20 patients with progressive disease (P less than 0.001). The predictive value and diagnostic efficiency (DE) of changes at 1 month in biochemical measurements and symptom score has been calculated. The combination of a greater than 10% rise in ALPBI and BGP and a greater than 10% fall in urinary calcium excretion had a DE of 89% for discriminating response from progression, 88% for response from non-response (progressing + no change patients), and 76% for TTF of greater than 6 months from TTF of less than 6 months. Serum calcium, tartrate resistant acid phosphatase (TRP), urinary hydroxyproline excretion and bone scan changes were unhelpful in discriminating between patient groups. Independent confirmation is needed, but our results suggest there are reliable alternatives to plain radiography in the early assessment of response of bone metastases to treatment.

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Year:  1988        PMID: 3262366      PMCID: PMC2246751          DOI: 10.1038/bjc.1988.194

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


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  16 in total

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Authors:  Ting Liu; Kavindra Nath; Weixia Liu; Rong Zhou; I-Wei Chen
Journal:  NMR Biomed       Date:  2015-07-14       Impact factor: 4.044

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Authors:  J Walls; A Assiri; A Howell; E Rogers; W A Ratcliffe; R Eastell; N J Bundred
Journal:  Br J Cancer       Date:  1999-06       Impact factor: 7.640

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