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Shimpi, A. A.

Publications and source records attributed to Shimpi, A. A..

2 recordsLinked to original sources

Biofunctional matrix models reveal mineral-dependent mechanoregulation of bone metastatic breast cancer

Bone metastasis is a leading cause of breast cancer-related deaths and often initiated by tumor cell dissemination to osteogenic niches. During new bone formation, osteoblasts first deposit osteoid, the collagen I-rich, unmineralized component of bone ECM, within which carbonated hydroxyapatite nanoparticles subsequently form. However, it remains elusive how bone matrix mineralization dictates tumor cell phenotype due in part to the lack of relevant model systems. Using biofunctional, collagen I-based bone matrix models with physiological, intrafibrillar mineralization, we show that mineralization inhibits proliferation, while inducing a stem-like phenotype in tumor cells. These changes were due to reduced mechanosignaling contradicting the conventional assumption that increased rigidity caused by mineralization stimulates metastatic progression. Our findings are translationally relevant as the presence of mineral reduced tumor growth in vivo and upregulated a gene signature that correlated with decreased patient mortality. Our results could help explain why decreased bone mineral density increases the risk for bone metastasis in patients and highlight that bone metastasis models should integrate organic and inorganic matrix components in a manner that mimics physiological mineralization.

bioengineering↗

Hyaluronic acid biosynthesis promotes an invasive, stem-like cancer cell phenotype by broadly altering metabolism

Metastasis is the leading cause of breast cancer-related deaths and often driven by invasion and cancer-stem like cells (CSCs). Both the CSC phenotype and invasion have been associated with increased hyaluronic acid (HA) production. How these independent observations are connected, and which role metabolism plays in this process remains unclear due in part to the lack of convergent approaches that integrate engineered model systems, computational tools, and cancer biology. Using microfluidic invasion models, metabolomics, computational flux balance analysis (FBA), and bioinformatic analysis of patient data we investigated the functional links between the stem-like, invasive, and metabolic phenotype of breast cancer cells as a function of HA biosynthesis. Our results suggest that CSCs are more invasive than non-CSCs and that broad metabolic changes caused by overproduction of HA play a role in this process. Accordingly, overexpression of hyaluronic acid synthases (HAS) 2 or 3 induced a metabolic phenotype that promoted breast cancer cell stemness and invasion in vitro and upregulated a transcriptomic signature that was predictive of increased invasion and worse survival in patients. Collectively, this study suggests that HA overproduction leads to metabolic adaptations that help satisfy the energy demands necessary for 3D invasion of breast cancer stem cells further highlighting the importance of engineered model systems and multidisciplinary approaches in cancer research.

cancer biology↗