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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
Understanding the Progression of Bone Metastases to Identify Novel Therapeutic Targets
Annie Schmid-Alliana1, Heidy Schmid-Antomarchi2, Rasha Al-Sahlanee3,4
1Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur, Inserm, iBV, 06108 Nice, France. Annie.SCHMID-ALLIANA@unice.fr.
Abstract:
Bone is one of the most preferential target site for cancer metastases, particularly for prostate, breast, kidney, lung and thyroid primary tumours. Indeed, numerous chemical signals and growth factors produced by the bone microenvironment constitute factors promoting cancer cell invasion and aggression. After reviewing the different theories proposed to provide mechanism for metastatic progression, we report on the gene expression profile of bone-seeking cancer cells. We also discuss the cross-talk between the bone microenvironment and invading cells, which impacts on the tumour actions on surrounding bone tissue. Lastly, we detail therapies for bone metastases. Due to poor prognosis for patients, the strategies mainly aim at reducing the impact of skeletal-related events on patients' quality of life. However, recent advances have led to a better understanding of molecular mechanisms underlying bone metastases progression, and therefore of novel therapeutic targets.
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