Prediction of bone metastasis in inflammatory breast cancer using a Markov chain model

Selected inflammatory breast cancer research published in 2019

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Fujii, T., et al. (2019). Prediction of Bone Metastasis in Inflammatory Breast Cancer Using a Markov Chain Model. The Oncologist. doi:10.1634/theoncologist.2018-0713.

Inflammatory breast cancer (IBC) is a rare yet aggressive variant of breast cancer with a high recurrence rate. We hypothesized that patterns of metastasis differ between IBC and non-IBC. We focused on the patterns of bone metastasis throughout disease progression to determine statistical differences that can lead to clinically relevant outcomes. Our primary outcome of this study is to quantify and describe this difference with a view to applying the findings to clinically relevant outcomes for patients.
Metastatic patterns of spread differ between patients with IBC and non-IBC. Selection of patients with IBC with known liver, chest wall, and/or lung metastasis would create a population in whom to investigate effective methods for preventing future bone metastasis.

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