Natural history of malignant bone disease in breast cancer and the use of cumulative mean functions to measure skeletal morbidity

Pierre P. Major, Richard J. Cook, Allan Lipton, Matthew R. Smith, Evangelos Terpos, Robert E. Coleman

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

Background: Bone metastases are a common cause of skeletal morbidity in patients with advanced cancer. The pattern of skeletal morbidity is complex, and the number of skeletal complications is influenced by the duration of survival. Because many patients with cancer die before trial completion, there is a need for survival-adjusted methods to accurately assess the effects of treatment on skeletal morbidity. Methods: Recently, a survival-adjusted cumulative mean function model has been generated that can provide an intuitive graphic representation of skeletal morbidity throughout a study. This model was applied to the placebo-control arm of a pamidronate study in patients with malignant bone disease from breast cancer. Results: Analysis by bone lesion location showed that spinal metastases were associated with the highest cumulative mean incidence of skeletal-related events (SREs), followed by chest and pelvic metastases. Metastases located in the extremities were associated with an intermediate incidence of SREs, and those in the skull were associated with the lowest incidence of SREs. Conclusion: Application of this model to data from the placebo arm of this trial revealed important insight into the natural history of skeletal morbidity in patients with bone metastases. Based on these observations, treatment for the prevention of SREs is warranted regardless of lesion location except for metastases on the skull.

Original languageEnglish (US)
Article number272
Pages (from-to)272
Number of pages1
JournalBMC Cancer
Volume9
DOIs
StatePublished - Aug 6 2009

All Science Journal Classification (ASJC) codes

  • Genetics
  • Oncology
  • Cancer Research

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